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Field
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analysis in Python or R Experience analyzing next-generation sequencing (NGS) data Experience with mass spectrometry-based immunopeptidomics data analysis is a plus Hands-on expertise with version control
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way and integrate a large number of different sensors. The data evaluation and modeling of the process will then take place in Python. This involves, for example, the construction of modular systems
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carried out in Python. This includes, for example, the construction of modular systems for vaccine production or the drug coating of balloon catheters. Possible areas of responsibility: Selection and
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; Experience with HPC, programming (e.g., Python, C/C++), and/or scientific computing is a plus Strong interest in quantum computing and molecular simulations Willingness to work in an interdisciplinary
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, physics, or similar, with a strong Machine Learning or simulation background In depth practical experience in at least one programming language (preferably Python) Ideally, some practical experience in
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in machine learning, AI and programming skills, e.g. Python basic knowledge of materials science / materials engineering Leibniz-IWT is a certified family-friendly research institute and actively
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Application and maintenance of measurement technology and sensors (electrical, acoustic, thermal) Participation in data analysis and development of AI-based evaluation methods (e.g., in Python, MATLAB) Planning
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and knowledge of a modern programming language (R, Matlab, Python). Good English skills are required. Personally, you are characterized by loyalty, reliability, teamwork, and an independent, careful
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to the table Study of mathematics, computer science, physics, engineering or similar with good to very good grades Strong programming skills in Python with knowledge of frameworks such as NumPy, Pytorch, Pandas
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-efficient learning, uncertainty estimation, 3D vision. What you bring to the table Good knowledge in machine learning and computer vision Experience in programming with Python and familiarity with PyTorch