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or Python) - In-depth understanding of computer systems (assembly code, compilers) Important personal qualities are the ability to work in a team, communicate with colleagues, be curious and creative. About
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. Requirements A doctoral degree related to Data Science, involving applied work in machine learning Experience with common ML frameworks (e.g., Tensorflow, PyTorch) Expert knowledge of Python or C/C++ Experience
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competence in Python and Matlab The ability to work independently Good written and oral communication skills in English Contract terms Type of position: Full-time research position Duration: Three months Start
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one or more of the following areas: Single-cell and spatial transcriptomic methods Scientific programming in Python and/or R Machine learning or deep learning frameworks (e.g., PyTorch, TensorFlow
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to the position, including demonstrated independent research and peer-reviewed publications. Proficiency in statistical programming (e.g., R, Python, or similar) is a requirement, as is fluency in spoken and
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instrumentation at hard X-ray spectroscopy beamline Leading instrument development projects Combined XAS and X-ray diffraction, including XRD analysis Python programming for data reduction, gui and analysis
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. Experience with basic mathematical principles and their application in modelling. Familiarity with programming languages such as Matlab or Python . Given the interdisciplinary nature of the project, a strong
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, motivation and flexibility at work. Meritorious for the position are: Good programming skills (eg R and/or Python). Miscellaneous The employment is time-limited for one year, however at the latest until on 30
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analysis using AI. Solid knowledge of signal processing and machine learning. Proficiency in programming (e.g., MATLAB, Python, C/C++). Strong written and verbal communication skills in English. The
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and production development, mechanical engineering, industrial engineering, or equivalent. experience in programming, preferably Python. fluent in spoken and written English. proficiency with mechanical