Master Thesis
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Master Thesis project: One-click approval of chromatographic analysis
Chromatography is the workhorse for analysis of pharmaceutical products ensuring the correct content, purity and quality of the product. The chromatographic analysis must be approved before release of any pharmaceutical product. Approval implies chromatographic profiles to be evaluated and compared against model chromatograms ensuring that the quality is acceptable.
Current state is manual and visual comparison with hard copy model chromatograms which is very time consuming. A digital comparison process will be faster and more robust, as the comparison is not based on subjective choices.
One challenge with digital comparison of two chromatograms is the small variations in retention time (x-axis), across different data set.
The purpose of this project is first to develop an algorithm that can handle these variations, robustly align chromatograms, and identify any significant differences. Secondly, to design an interface enabling users in the laboratory to use the algorithm.
Project scope:
• Development of an algorithm for fast and robust identification of differences between sampled and model chromatogram. This includes handling of experimental variations, alignment, and identification of any significant differences (atypical chromatography).
• Mathematical definition of atypical chromatography
• Design an interface enabling users in the laboratory to use the algorithm. Desired skills/competencies:
• Familiarity with data analysis
• Solid programming skills and interest in Python
• Flair for user experience (UX) intuitive graphical interface and efficient data visualization
• Insight into chemical/chromatographic analysis and statistics is advantageous, but not required How to apply
Please send your application no later than 25 October 2024. Your CV is not required, and the application must not exceed more than ½ page and must contain:
• A short description of who you are as a person
• How you would solve the project
• Your motivation to write your thesis on an analytical topic
• Project start date and the possibility of combining with a pre-project Contact
For further information, don't hesitate to contact Sr. Research Scientist, Christian Frankær at +. We commit to an inclusive recruitment process and equality of opportunity for all our job applicants. At we recognize that it is no longer good enough to aspire to be the best company in the world. We need to aspire to be the best company for the world and we know that this is only possible with talented employees with diverse perspectives, backgrounds and cultures. We are therefore committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve and communities we operate in. Together, we’re life changing.
Chromatography is the workhorse for analysis of pharmaceutical products ensuring the correct content, purity and quality of the product. The chromatographic analysis must be approved before release of any pharmaceutical product. Approval implies chromatographic profiles to be evaluated and compared against model chromatograms ensuring that the quality is acceptable.
Current state is manual and visual comparison with hard copy model chromatograms which is very time consuming. A digital comparison process will be faster and more robust, as the comparison is not based on subjective choices.
One challenge with digital comparison of two chromatograms is the small variations in retention time (x-axis), across different data set.
The purpose of this project is first to develop an algorithm that can handle these variations, robustly align chromatograms, and identify any significant differences. Secondly, to design an interface enabling users in the laboratory to use the algorithm.
Project scope:
• Development of an algorithm for fast and robust identification of differences between sampled and model chromatogram. This includes handling of experimental variations, alignment, and identification of any significant differences (atypical chromatography).
• Mathematical definition of atypical chromatography
• Design an interface enabling users in the laboratory to use the algorithm. Desired skills/competencies:
• Familiarity with data analysis
• Solid programming skills and interest in Python
• Flair for user experience (UX) intuitive graphical interface and efficient data visualization
• Insight into chemical/chromatographic analysis and statistics is advantageous, but not required How to apply
Please send your application no later than 25 October 2024. Your CV is not required, and the application must not exceed more than ½ page and must contain:
• A short description of who you are as a person
• How you would solve the project
• Your motivation to write your thesis on an analytical topic
• Project start date and the possibility of combining with a pre-project Contact
For further information, don't hesitate to contact Sr. Research Scientist, Christian Frankær at +. We commit to an inclusive recruitment process and equality of opportunity for all our job applicants. At we recognize that it is no longer good enough to aspire to be the best company in the world. We need to aspire to be the best company for the world and we know that this is only possible with talented employees with diverse perspectives, backgrounds and cultures. We are therefore committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve and communities we operate in. Together, we’re life changing.
Information og data
Denne ledige stilling har jobtypen "Øvrige", og befinder sig i kategorien "Øvrige stillinger".
Arbejdsstedet er beliggende i Måløv.
Jobbet er oprettet på vores service den 27.9.2024, 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.
- Øvrige
- Måløv
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