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dynamics, and materials chemistry. Strong Python programming skills are required, and prior experience with developing open-source software or databases will be considered a plus.Candidates should apply at
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geologic media As for programming, we prefer familiarity with MATLAB, Python, and C++. Prior experience with high-performance computing (HPC) clusters and Unix operating systems is advantageous. We welcome
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preferred. Proficiency in computational tools such as MATLAB, Python, R, or machine learning applications in immunology is desired. Candidates should have a PhD in Chemistry, Chemical Engineering
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of thesis by the start date) in economics, psychology, or a closely related discipline. Strong programming skills in Python, Stata, or R. A solid foundation and interest in behavioral and experimental
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skills in MATLAB and/or Python. Solid background in experimental design, statistics and scientific writing. Willingness to work in a clinical research environment. Excellent time-management, written and
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to apply are: Ph.D. or related degree completed in neuroscience or an associated field. Experience with a programming language (MATLAB, Python, R, or others). Expertise in neurophysiology or animal behavior
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
of aerosols and cloud microphysics. Requirements Background in areas such as physics, fluid mechanics, optics or meteorology Programming skills (e.g., Python, C/C++) Strong teamwork skills and good command
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development knowledge of the state-of-the-art in climate physics and Earth system modeling and data analysis techniques programming skills e.g. in C, BASH, Python, Latex software user knowledge: MS or Libre
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of robotics Solid mathematical foundation paired with practical robotics experience Strong programming skills in (at least one of) Python/C++ Familiarity with robotics frameworks like ROS; optimization-based
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score derivation and validation, and other relevant analyses. Develops R or Python scripts for data analysis, statistical modeling, and machine learning techniques, ensuring reproducibility and efficiency