PhD project proposal: Predicting response and non-response to medical treatment of infl...
Denne stilling er desværre ikke længere ledig.
Se alle ledige stillinger
Hele Danmark
Aim of the Ph.D.
Today, the most wide-spread used targeted drug in chronic inflammatory diseases (CIDs) such as Inflammatory Bowel Disease (IBD) and Rheumatoid arthritis (RA) is a TNF inhibitor (TNFi). TNFi is effective in 1/3 to 2/3 of the cases. Therefore, being able to predict who will respond to the treatment will help select the best treatment to the individual patient.
Based on the idea that the gut mucosa is the key organ for the disease process, single-cell transcriptomics, proteomics, PTMomics (the study of post-translational modifications such as phosphorylation and glycosylation), and metabolomics will be applied to patient intestinal biopsies.
Results will be evaluated biologically, i.e. whether high-level mRNAs identified by transcriptomics lead to higher protein levels in the intestine (identified by proteomics), etc. In addition, we will perform an integrated analysis of the multi-omics data using a variety of freely available software. From this integration of data, we will perform various analyses, both data-driven and hypothesis-driven.
By combining the different results, promising biomarkers will be selected for evaluation in blood from the Danish cohort. Biomarkers passing this first step will be further evaluated in Canadian, Swedish, and Norwegian cohorts.
Finally, we will integrate the information in a model for further evaluation and optimization in future clinical studies before being implemented in clinical practice.
This Ph.D. project aims to identify biomarkers associated with response to targeted treatment by applying single-cell transcriptomics on biopsies from IBD patients treated with TNFi.
First, the PhD student will perform a literature review to use all available, updated, information on clinical factors and multi-omics biomarkers associated with treatment response in IBD.
The PhD student will under supervision be involved in the clinical data administration and in performing the transcriptomics and data analysis.
The research team.
You will member of a small, ambitious research team with various backgrounds (molecular biology, doctor, nurse, health research).
You will be in close contact with other Ph.D. students.
Mentors.
Contact: Signe Bek Sørensen, postdoc, [email protected], +45 2938 5683 (study coordinator).
Vibeke Andersen, professor, Focused Research Unit for Molecular Diagnostics and Clinical Research (MOK), University Hospital of Southern Jutland, Åbenrå, +45 2115 7790, [email protected] (main supervisor),
Mads Thomassen, [email protected], Clinical Genome Center, Odense University Hospital.
Practical Information.
A student with interest in biomedical research is preferred (e.g. Molecular Science, Medicine or Human Biology).
You will be involved in writing the protocol, applying for the economy.
One year wage is already paid by H2020.
The study will be performed at the Clinical Genome Center, Odense University Hospital and MOK, University Hospital of Southern Denmark, in close contact with SDU.
Only applicants with at least one published work are accepted as Ph.D. students.
Deadline for the application: the 25th of May 2020.
The interview will take place the 28th of May 2020
The PhD programme will be carried out in accordance with Faculty regulations and the Danish Ministerial Order on the PhD Programme at the Universities (PhD order).
The terms of employment as a salaried PhD Research Fellow are stated in the Agreement between the Ministry of Finance and the Danish Confederation of Professional Associations (AC).
Applications must include:
Additional information may be requested and the application process may include an interview before a final decision is made. Incomplete applications and applications received after the deadline will not be considered.
Successful candidates will be asked to send an application to the PhD Secretariat, Faculty of Health Sciences, to be enrolled as PhD students.
All interested and qualified persons are encouraged to apply, regardless of age, gender, religious affiliation or ethnic background.
Today, the most wide-spread used targeted drug in chronic inflammatory diseases (CIDs) such as Inflammatory Bowel Disease (IBD) and Rheumatoid arthritis (RA) is a TNF inhibitor (TNFi). TNFi is effective in 1/3 to 2/3 of the cases. Therefore, being able to predict who will respond to the treatment will help select the best treatment to the individual patient.
Based on the idea that the gut mucosa is the key organ for the disease process, single-cell transcriptomics, proteomics, PTMomics (the study of post-translational modifications such as phosphorylation and glycosylation), and metabolomics will be applied to patient intestinal biopsies.
Results will be evaluated biologically, i.e. whether high-level mRNAs identified by transcriptomics lead to higher protein levels in the intestine (identified by proteomics), etc. In addition, we will perform an integrated analysis of the multi-omics data using a variety of freely available software. From this integration of data, we will perform various analyses, both data-driven and hypothesis-driven.
By combining the different results, promising biomarkers will be selected for evaluation in blood from the Danish cohort. Biomarkers passing this first step will be further evaluated in Canadian, Swedish, and Norwegian cohorts.
Finally, we will integrate the information in a model for further evaluation and optimization in future clinical studies before being implemented in clinical practice.
This Ph.D. project aims to identify biomarkers associated with response to targeted treatment by applying single-cell transcriptomics on biopsies from IBD patients treated with TNFi.
First, the PhD student will perform a literature review to use all available, updated, information on clinical factors and multi-omics biomarkers associated with treatment response in IBD.
The PhD student will under supervision be involved in the clinical data administration and in performing the transcriptomics and data analysis.
The research team.
You will member of a small, ambitious research team with various backgrounds (molecular biology, doctor, nurse, health research).
You will be in close contact with other Ph.D. students.
Mentors.
Contact: Signe Bek Sørensen, postdoc, [email protected], +45 2938 5683 (study coordinator).
Vibeke Andersen, professor, Focused Research Unit for Molecular Diagnostics and Clinical Research (MOK), University Hospital of Southern Jutland, Åbenrå, +45 2115 7790, [email protected] (main supervisor),
Mads Thomassen, [email protected], Clinical Genome Center, Odense University Hospital.
Practical Information.
A student with interest in biomedical research is preferred (e.g. Molecular Science, Medicine or Human Biology).
You will be involved in writing the protocol, applying for the economy.
One year wage is already paid by H2020.
The study will be performed at the Clinical Genome Center, Odense University Hospital and MOK, University Hospital of Southern Denmark, in close contact with SDU.
Only applicants with at least one published work are accepted as Ph.D. students.
Deadline for the application: the 25th of May 2020.
The interview will take place the 28th of May 2020
The PhD programme will be carried out in accordance with Faculty regulations and the Danish Ministerial Order on the PhD Programme at the Universities (PhD order).
The terms of employment as a salaried PhD Research Fellow are stated in the Agreement between the Ministry of Finance and the Danish Confederation of Professional Associations (AC).
Applications must include:
- A letter stating the interest, motivation and qualifications for the project (max. 2 pages),
- Detailed CV, including personal contact information,
- Certified copy of diploma (Master’s degree in a relevant field).
Additional information may be requested and the application process may include an interview before a final decision is made. Incomplete applications and applications received after the deadline will not be considered.
Successful candidates will be asked to send an application to the PhD Secretariat, Faculty of Health Sciences, to be enrolled as PhD students.
All interested and qualified persons are encouraged to apply, regardless of age, gender, religious affiliation or ethnic background.
Information og data
Denne ledige stilling har jobtypen "Forsker", og befinder sig i kategorien "Sundhed og forskning".
Arbejdsstedet er beliggende i Hele Danmark
Jobbet er oprettet på vores service den 7.5.2020, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
- Forsker
- Mandag den 25. maj 2020
Lignende jobs
-
Engageret adjunkt/lektor til underviserstilling ti...
Er du en passioneret bygningskonstruktør, arkitekt eller ingeniør, som brænder for at lære fra dig, inspirere og motivere studerende? Søger du en stilling, hvor du har frihed til fordybelse og .Få mere info- Forsker
- Næstved
-
Adjunkt/lektor til sygeplejerskeuddannelsen, uddan...
Brænder du for at uddanne kommende sygeplejersker? Har du lyst til at bidrage til at udvikle landets største sygeplejerskeuddannelse? Så er du måske en af vores nye kollegaer, som sammen med en eng..Få mere info- Forsker
- København N
-
Researcher til Anticimex
Global innovative company looking for Science enthusiastic Researcher with excellent writing skillsWould you enjoy getting your hands on some of the most interesting research conducted in a comp..Få mere info- Forsker
- Bagsværd
-
Adjunkt eller lektor til fysioterapeutuddannelsen
Vores ambition er at uddanne fysioterapeuter, som med ansvarlighed og stærk faglighed kan træde ud og repræsentere professionen på bedste vis i samfundet. Vil du være med til at skabe forpligtende .Få mere info- Forsker
- København N
Statistik over udbudte jobs som forskere i Hele Danmark
Herunder ser du udviklingen i udbudte forsker i Hele Danmark over tid. Bemærk at jobs der ikke har en bestemt geografi ikke er medtaget i tabellen. I den første kolonne ser du datoen. I den næste kolonne ser du det samlede antal forskere i Hele Danmark.
Se flere statistikker her:
Statistik over udbudte forskere i Hele Danmark over tid
| Dato | Alle jobs som forskere |
|---|---|
| 22. november 2024 | 380 |
| 21. november 2024 | 387 |
| 20. november 2024 | 370 |
| 19. november 2024 | 335 |
| 18. november 2024 | 353 |
| 17. november 2024 | 354 |
| 16. november 2024 | 355 |
| 15. november 2024 | 398 |
| 14. november 2024 | 370 |
| 13. november 2024 | 386 |
| 12. november 2024 | 392 |
| 11. november 2024 | 403 |
| 10. november 2024 | 402 |
| 9. november 2024 | 418 |
| 8. november 2024 | 404 |
| 7. november 2024 | 402 |
| 6. november 2024 | 403 |
| 5. november 2024 | 389 |
| 4. november 2024 | 385 |
| 3. november 2024 | 396 |
| 2. november 2024 | 400 |
| 1. november 2024 | 423 |
| 31. oktober 2024 | 438 |
| 30. oktober 2024 | 432 |
| 29. oktober 2024 | 432 |
| 28. oktober 2024 | 437 |
| 27. oktober 2024 | 472 |
| 26. oktober 2024 | 476 |
| 25. oktober 2024 | 399 |
| 24. oktober 2024 | 445 |
| 23. oktober 2024 | 467 |