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semiconductors. You should have experience working in a laboratory environment, along with basic programming and data analysis skills (Python, MATLAB, LabVIEW). High motivation, very good English or German skills
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., MATLAB, Python) is required. Experience with machine learning is highly preferred. Ability to work independently and as part of a team. Key Requirements for PhD: Hold a Bachelor's degree with outstanding
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programming languages like Python or Matlab environment. Knowledge for programming (python) would be a plus for the force curves interpretation since some codes have been developed for the 3D -AFM data analysis
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. or equivalent degree in Medical Physics, Physics, Biomedical Engineering, Computer Science, Applied Mathematics, or a related quantitative discipline. Strong programming skills in C++, Python, MATLAB, or similar
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project team. Proven programming skills in Matlab and/or Python Motivated to develop your teaching skills and coach students Fluent in spoken and written English (C1 level) Additional Information Benefits A
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interest in learning, adaptation, and dynamical systems in physical contexts Experience with analytical and\or computational modeling. Proficiency in numerical methods and coding (Python, JAX, MATLAB
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analytics / atmospheric monitoring of greenhouse gases and interest in automated setups and field work. Knowledge of scientific data analysis (e.g. Python, MATLAB or R). Good verbal and written communication
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experience in the following areas: Knowledge of computer science and machine learning. Familiarity with electrical and electronic engineering. Proficiency in programming languages such as Python, C++
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expertise and experience in vision science, retinal neurobiology and advanced connectomic methods and related data analyses skills including advanced statistics, MATLAB and Python programming skills
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, researchers will manage and manipulate data using requested packages, such as STATA, Python, R, or MATLAB. For behavioral roles, researchers will manage and manipulate data using qualitative research tools