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analysis. You master programming in for example Python, MATLAB, or a similar platform and you are motivated to further develop your skills in scientific computing and hyperspectral data processing. You have
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methods (e.g., coding in Python/R, working with APIs, scraping data, building or applying models). • Can bridge theoretical insight with concrete technical implementation and empirical analysis. • Is
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systems, large language models, agentic AI, or scientific software development, especially in industry or research settings. Strong software engineering skills, proficiency in Python programming, experience
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of the following: A solid foundation in programming (particularly Python) and modern machine learning frameworks (e.g., PyTorch, TensorFlow). An interest in AI security, trustworthy ML, or the reliability of ML
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programming in Python and the modern AI ecosystem, including PyTorch, HuggingFace, and ONNX and you are comfortable working systematically with complex technical problems. Experience with industrial
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programming (particularly Python) and modern machine learning frameworks (e.g., PyTorch, TensorFlow). An interest in AI security, trustworthy ML, or the reliability of ML systems in safety-critical settings
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main tasks will consist of: Research support within specific areas Administrative responsibilities Project work assisting students and postdoctoral fellows with their research projects. You will report
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-Mechanical System Design, or a related field Experience with modelling of mechanical and hydraulic systems Ability to develop and analyze dynamic system models using MATLAB/Simulink and Python or similar tools
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for one or more 2-year fully funded postdoctoral research positions in criminology with a focus on cybercrime. The positions are part of a strategic effort to strengthen criminological research
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of Society and Politics, Faculty of Social Sciences and Humanities, invites applications for one or more 2-year fully funded postdoctoral research positions in criminology with a focus on cybercrime. The