9 parallel-programming-"DIFFER"-"Mohammed-VI-Polytechnic-University" positions at Empa in Switzerland
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, so extra shelf life, to economical advantages. Perform an end-to-end supply-chain assessment method to map tradeoffs for different cooling technologies for selected stakeholders to get a holistic view
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is a key-enabling technology for advanced manufacturing. In order to address increasingly complex demands on joining (dissimilar materials combinations, miniaturisation, extreme operation conditions
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on different topics related to wound healing. Project background Wound healing is a complex process in which a cascade of physiological events takes place to restore injured skin to its full functionality
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scanning probe microscopy (STM or AFM), ideally with a focus on magnetic nanostructures or spin-resonance techniques Programming skills in Python or similar languages A proactive and collaborative mindset
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) /COMSOL/ Abaqus etc., with a strong focus on multi-phase modeling of high-energy density heat sources, including laser-material and electron beam-material interactions Good programming skills (e.g. Python
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programming, modelling and data analysis skills in Python and/or R. Experience with the formulation and implementation of mathematical optimization problems can give you a competitive edge. The candidate should
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science, chemistry, electrical engineering or a related discipline Strong background in materials informatics and data science Proficiency in Python programming Experience in machine learning for materials
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. radiomics) in image processing and in programming (Python, C, Matlab etc.) Fluent in English, German is beneficial Our offer We offer an international, highly stimulating research environment with excellent
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science, and/or nanoscience. Prior experience with scanning probe microscopy, preferably with a focus on magnetic nanostructures or spin resonance studies, and programming in Python would be advantageous