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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
related field # Proficiency in programming languages (Python, C/C++, Julia) # Background in machine learning methods # Experience in developing, training, and tuning machine learning models # Prior exposure
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required. Very good English skills, both written and spoken, are also required. The successful applicant has a proven track record of excellent publications. Strong taxonomic knowledge in marine
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or interest in game theory, tax competition and fiscal federalism, welfare economics, environmental economics, public economics is a plus Ideally Working knowledge of programming languages such as Mathematica
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geographic information systems (GIS) and programming languages (e.g. Python, Matlab, R) as well as in advanced statistical methods for analyzing complex ecosystem and environmental datasets. Good knowledge
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Max Planck Institute of Biophysics, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 3 months ago
-nucleic acid interactions (the candidate with prior experience in structure biology and protein expression and modification is preferred. Experience in programming is a plus.) TIRF-based single molecule
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, the European “Green Deal” and the phase-out of lignite. Funded by the German Federal Ministry of Education and Research, the project focuses on two central aspects: accelerating technology development and
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-Scripting very good knowledge in programming, preferably in Python,Fortran, Matlab or R experience in the environment of High Performance Computing (HPC) is desirable, but not mandatory capability to work in
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and medical research with a commitment to interdisciplinary collaboration ability to quickly grasp new concepts and work independently on complex problems proficiency in scientific programming languages
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, batteries, heterogeneous catalysts, interfaces) Proficiency in high-level programming languages, e.g. Python Previous supervision of graduate students, as well as laboratory or instrument responsibilities
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using geographic information systems (GIS) and programming languages (e.g. Matlab, Python, R) and working with large data sets and data formats, such as netCDF, HDF, including analysis tools such as NCO