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Field
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chemistry, or Applied Mathematics or Information Technology. Experience with numerical programming, machine learning or data analysis, preferably with Python. Solid background in technical mathematics
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of thermodynamics and heat transfer Initial experience in numerical modeling or simulation using a suitable tool (e.g., Modelica, Matlab/Simulink, Python, or similar) Interest in energy storage and applications in
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programming skills in Python - knowledge of mathematics and statistics - very good command of written and spoken English (at least B2) - strong communication and teamwork skills - knowledge
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datasets Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer The successful candidates will
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Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | 3 months ago
presentations and publications within the scope of the own professional field of activity Master’s degree in data science, informatics, neuroscience, or comparable qualification Previous experience in Python
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Solid programming skills (e.g., Python, MATLAB, C/C++ or similar) Experience in MR sequence programming is highly desirable Strong interest in translational, across-organ imaging research Ability to work
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. Requirements: MSc degree in physics, materials science, or in a related discipline Basic knowledge of programming in ideally in Python Self-management and active collaboration in a team of scientists
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chromatin biochemistry and in vitro reconstitution o bioinformatics workflows (R/Python), statistics, reproducible analysis o third generation sequencing (e.g. Oxford Nanopore) fluent English language
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with emerging memory devices Experience with simulation tools (LTspice, Cadence, MATLAB, Python) Interest in brain-inspired computation, energy-efficient hardware, and experimental validation Ability