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setups, including the development of software required to gather and analyse data (using e.g., .Net, Python, LabView); Experience in the operation of common clean room tools used in the nanofabrication
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | 20 days ago
presentations and publications within the scope of the own professional field of activity Master’s degree in data science, informatics, neuroscience, or comparable qualification Previous experience in Python
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experience in doing so. This position is based at the Kansas Geological Survey (KGS), a research and service unit at the University of Kansas , and will be co-supervised by Jim Butler (https://kgs.ku.edu
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need strong written and verbal communication skills in English Proficiency in programming with high-level languages like Python or C Strong analytical skills and an interest in theoretical and
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R and/or Python, and used to working with large datasets and reproducible analysis workflows. Has a demonstrated ability to initiate and drive own research ideas, preferably with experience from
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, components, overall system performance) Numerical methods and simulation tools (e.g., Python/Matlab, CFD modelling, optimization) Beyond technical skills, we value people who contribute to a healthy and
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, statistics, optimization) and strong interest in time-series modeling and physics-guided machine learning. Proficiency in Python and modern deep learning frameworks (e.g., PyTorch). Strong engineering maturity
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). Knowledge in programming is required (Python is beneficial but not mandatory). Willingness to do experimental science, including instrument building, sample preparation, and working in laboratories
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expertise in numerical modelling. The post is available from 1st March 2026 for 12 months in the first instance and could be extended further. See http://rccs.hw.ac.uk/ for more details. Key duties and
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pipeline in Python (using e.g. PyTorch) validation of your results in collaboration with colleagues from various application areas (cross-disciplinary) publication and presentation of your scientific results