643 programming-"https:"-"Inserm"-"FEMTO-ST"-"https:"-"https:"-"https:"-"https:" positions in Germany
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on digitalization topics, including programming, research data management, AI applications, and scientific computing Applicants who meet the prerequisites will generally receive a salary according to BesGr. B 1 BBesO
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programs of the Faculties of Engineering Sciences and Biosciences, particularly in the Master Molecular Biotechnology and the Major Systems Biology in the Master Molecular Biosciences. Candidates
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optimisation of analytical and numerical models for metasurfaces Documentation of the algorithms developed and results What you contribute You are enrolled in a Master's programme, e.g., computer
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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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and assess their applicability in coastal environments. The position will be based in the ZMT’s program area (PA2) Impacts of Global Change and Adaptation and will actively contribute to its objectives
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with antenna array signal processing techniques Sound understanding of optimization methods and algorithms Proficiency in Python programming Proven publication record in top-tier international journals
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: Successfully completed scientific university degree, preferably in computer science, electrical engineering, or a comparable field of study Very good programming skills in Python (e.g., TensorFlow, PyTorch) In
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CRC RESIST Phase II program, creating a superb scientific network. RESIST is coordinated by the University of Duisburg-Essen with the participation of the Ruhr-University of Bochum, Christian-Albrechts
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such as automatic speech recognition, multi user text-to-speech synthesis, speaker and language detection, etc. Programming knowledge is required. You have gained experiences with Python and the relevant
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the use of mass spectrometry Experience in high-resolution fluorescence microscopy Very good knowledge in the application of statistical analysis procedures Basic knowledge in the use of programming