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Field
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combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries. Look at the BSC
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highly motivated candidate with: Master’s degree in medicine (MD) Strong interest in translational endocrinology and digital health technologies Basic programming or data science skills (R, Python) and
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Europe by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. We look for researchers from diverse
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, empwering personalized medicine in psychiatry. Experience in quantitative genetics and/or deep neural networks, R/Python/PyTorch/Tensorflow etc. is desirable. Apply now via our career portal until 19.11.2025
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and development. Drivers license is a necessity for the work duties. Beneficial qualifications are experience of forestry analytics, using preferably R programming language and/or GIS softwares, and
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and later into career aspirations and professional experience: Statistics, Python, R, Modelling & Analysis Environmental Policy Professional internships (usually 1-3 months) Career Conversations
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on understanding tree and stand growth and development. Drivers license is a necessity for the work duties. Beneficial qualifications are experience of forestry analytics, using preferably R programming language and
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willingness to learn Dutch. We prefer that you are proficient in scientific computing (Python, Matlab, R, and UNIX), have strong data processing and collection, and are familiar with the basics of machine
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, Medicine, Global Health, Respiratory Medicine). Strong background in epidemiology, clinical research, or biomedical sciences. Proficiency with data analysis and statistical software (e.g., R, SPSS, Stata
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multiple case study, where you will study several R&D consortia over two years, which you will help optimize their innovation processes. You will use qualitative research techniques such as interviews