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Field
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, Quantitative Genetics, Population or Statistical Genetics). Demonstrated experience in analytical and quantitative skills. Proficiency in programming and data analysis tools (e.g. Python, R, Fortran, Linux
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with surface science. Experience with molecular dynamics simulations and at least basic knowledge of machine-learning approaches for atomistic modeling are highly desirable. Skills in Python and
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models; • Expert knowledge of programming, preferably in Python and/or Fortran. What we offer: A longer-than-average postdoctoral contract with freedom to choose your specialized research topics
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research methods and data visualization. Excellent written and verbal communication skills and the ability to work collaboratively. Desired Qualifications Additional knowledge of Stata, Python, causal
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. Strong experience developing, deploying, and optimizing applications and workflows in high-performance computing (HPC) environments. Demonstrated programming proficiency in C/C++ (preferred) and Python
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, French Technical skills: - Skills in measuring carbon stocks and flows - Advanced data processing skills - Ability to use an R or Python environment - Project management - Ability to work independently, in
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. You will have appropriate knowledge of relevant software tools for this work, including coding in python or C, and experience with standard laboratory equipment for detector development. About the
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magnetic resonance imaging (MRI), such as arterial spin labeling and diffusion tractography using programming scripts, such as Python and C++ Self-driven, motivated, and creative in designing image analysis
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programming languages, especially MATLAB and Python. Excellent written and verbal communication skills in English. Application Applications should be submitted online and through email as a zipped file
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candidates may apply before completing their PhD degree. However, a documented proof of a PhD degree is required upon appointment Excellent programming skills (Python, Julia, R) and maintenance of code