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. Experience in recording and analyzing electrical biosignals will be appreciated (i. e. VEP, ERG, EEG, EKG). Programming skills in LabVIEW and/or Matlab, and/or Python. Proficiency in English, both spoken and
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. Essential qualifications: PhD in Computer Science, Robotics, Machine Learning, or related fields. Programming skills in Python/C++ and experience with ML frameworks (e.g. PyTorch, TensorFlow, JAX). Strong
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knowledge of the details of the design of SO/STIX and ASO-S/HXI; • Excellent knowledge of the Python and IDL programming languages; • Knowledge of the statistical analysis methods; • Knowledge of English at a
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experimental high energy particle or nuclear physics, 3) very good knowledge of C++ and Python programming languages and the ROOT data analysis framework, 4) the ability to use Monte Carlo generators
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regulatory genomics. Proficiency in R, Python, or other programming languages, experience in bioinformatics analyses of NGS data and understanding of statistical principles is highly desired. Experience
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or Python). Preferred experience with excavation recording/documentation GPS / Field data collection Ability to manage/arrange/organise translations when necessary Preferable web design – ability to design
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; experience of working in R or Python; LanguagesENGLISHLevelGood Research FieldAgricultural sciences » Forest sciences Additional Information Benefits 1. stable employment 2. academic support and opportunities
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, obtained not earlier than 7 years before the year of employment in the project (not including maternity leaves), Strong MATLAB and/or Python programing skills – signal analysis, statistics, neuronal modeling