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Familiarity with R, STATA, IBM SPSS Statistics, or Python What do we offer? A creative and inspiring environment with wide-ranging expertise and interests. Karolinska Institutet is one of the world's leading
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desirable. Understanding of fermionic superfluidity/superconductivity and topological materials is beneficial. Working skills in data analysis and automation of experiments with MATLAB, Python, or equivalent
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offers the opportunity to develop an independent research direction within a highly interdisciplinary and collaborative environment. Where to apply Website https://www.academictransfer.com/en/jobs/360169
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Learning, or a related field Strong background in cybersecurity and/or applied machine learning Interest in applied cybersecurity research with real-world impact Proficiency in Python and relevant ML
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. Strong engineering and analytical skills 3. Computer modelling skills (i.e. MATLAB or Python) 4. A comprehensive understanding of statistics/statistical modelling 5. Backgrounds in
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completed, please submit a short statement by the supervisor concerning progress) excellent coding skills (Python, Julia, C++, etc.) excellent communication skills excellent English skills We Offer
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skills in R and/or Python Experience analysing complex biological datasets A clear scientific vision on precision nutrition and integrative data approaches Preferably, you also have: Experience with
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Postdoc in experimental studies of phase behavior of ABC-miktoarm star block copolymers in thin f...
Experience with image analysis Experience with coding and high-performance computing, for example in python, C, etc. Experience with polymer and/or block copolymer physics and/or chemistry Experience with
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-angers.fr/poste/l3n5xsoefq-post-doctorante-en-machine-… Requirements Research FieldMathematicsEducation LevelPhD or equivalent Skills/Qualifications Knowledge: • The candidate must have a basic understanding
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diffusion models Familiarity with CT imaging workflows or radiological image-analysis pipelines Ability to develop reproducible research code in Python, preferably using PyTorch Experience with explainable AI