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for measurement data (preferred for plasma physics or HEP). Knowledge of Python, Matlab. Additional assets: Experience in laboratory work and knowledge of the principles of particle detectors and measurement
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optimization of nonlinear problems will be essential. The researcher must also be familiar with image manipulation and software development in Matlab or Python. The ability to collaborate both in academia and
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propagation physics (acoustic, seismic, ultrasonic, electromagnetic) and/or diffusive phenomena (e.g., electrical resistivity). Strong programming skills either Python, MATLAB, julia or other scientific
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in one of these areas. Alternatively, you have gained essentially corresponding knowledge in another way. Experience with programming (e.g., Python, MATLAB, C/C++ or similar) and an interest in
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and/or cognitive neuroscience, preferentially in the field of attention and memory Excellent research methods knowledge and skills Solid programming skills (e.g., MATLAB, R, Python) Demonstrated
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and knowledge and early-career authorship. Responsibilities Programs in Stata, Python, R, or Matlab to analyze data using econometric tools. Collaborates with research team to develop economic models
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, diesel generators, and other sources. Implement predictive, rule-based, or optimisation-based control strategies using MATLAB/Simulink, Python, or embedded software tools. Integrate controller logic with
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. Strong candidates will also have software experience with coding in Python, C++, and ideally MATLAB and databases such as MySQL. The successful candidate will be able to work both independently and closely
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-, T2-weighted MRI, diffusion-weighted imaging) Programming experience (e.g., MATLAB or Python) Demonstrated trajectory toward applying for an NIH K-award within two years of appointment Special
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rheometry of polymer melts Troubleshooting of various polymer processing methods in the context of the circular economy Control engineering and automation; programming in Python, MATLAB, etc.; basic knowledge