As the ideal candidate for this position, you feel at ease working in a multidisciplinary environment and are a team player. You are enthusiastic, ambitious, independent thinker, and have excellent writing skills. The nature of the position allows for diverse backgrounds, which include biology, chemistry,
chemometrics,
epidemiology,
bioinformatics,
statistics, computational epidemiology, or a related discipline. Affinity with
OMICs data analysis is valued, and any experience with Large Language Models is considered valuable. You have experience with programming (e.g.
R,
Matlab,
Python). Most importantly: you are willing to learn.
Candidates with the following skills are especially encouraged to apply:
- Experience in statistical analyses (e.g. R, Matlab, Python);
- Some experience with (OMICs) data analysis and/or Chemometrics and/or machine-learning, or willing to learn;
- A strong motivation to work in a multidisciplinary international research team;
- Willing to learn about large language models;
- Excellent collaboration and communication skills (written and spoken).