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Independent way of working Basic programming skills (Python) advantageous Very good knowledge of German or English (at least B2 level according to the CEFR: https://go.fzj.de/languagerequirements ), ideally
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candidate has A relevant Ph.D. degree and a documented background in molecular biology and biochemistry. Experience in performing and analysing molecular dynamics simulations. Proficiency in Python
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of computational electromagnetics. High proficiency in Python, MATLAB, Wolfram Mathematica, or similar programming software. High motivation and creativity. Good written and verbal communication, including
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Python, MATLAB, Wolfram Mathematica, or similar programming software. High motivation and creativity. Good written and verbal communication, including presentation skills. Good organizational skills
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. Strong understanding of AI/ML concepts, methodologies, and applications. Proven ability to gather program in AI. Deep expertise in Python and standard ML/Data Science libraries (e.g., TensorFlow, PyTorch
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fluency in at least one programming language (e.g. Python, R, or similar). Background in cancer biology preferred Problem Solving Works with a team to troubleshoot computational analysis Decision Making
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to Computing with Python BIOE 104: Biotransport Phenomena ENGR: 080: Stat Model Data Analysis Other courses as needed See catalog for course descriptions The Reader will be responsible for grading homework
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Python or C/C++. The candidate should have an interest in developing novel bivariate methods in machine learning for molecular property prediction within an interdisciplinary application. Ideally
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or Doctoral Degree in Epidemiology or related field. Experience with coding in R (or python), including the use of generative AI tools and best practices for data reproducibility (e.g., tidyverse
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Maintain detailed records of results and prepares written reports acceptable to the Principal Investigator and funding agencies Other duties as assigned Unit URL https://uiexperimentalforest.org/ Position