42 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Chalmers University of Technology in Sweden
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with PhD students. Our research infrastructure is provided mainly by NAISS (National Academic Infrastructure for Supercomputing in Sweden) and C3SE (Chalmers Centre for Computational Science and
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fluids, flow-induced pattern formation in both simple and complex flows (e.g. flow instabilities, product defects), multiscale analysis, and the application of machine learning techniques. About the
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varied, ranging from theory and computer simulations to experimental investigations. The theoretical subatomic physics group performs research on nuclear, elementary particle, and astroparticle physics by
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for documented circumstances such as parental leave, sick leave, or military service. The following experience will strengthen your application: Experience with biomaterials, such as hydrogels Familiarity with
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methods in High-Energy physics, in particular quantum field theory and particle physics is required. Familiarity with symbolic computer algebra systems such as Mathematica is required You will need strong
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symbolic computer algebra systems such as Mathematica is required You will need strong written and verbal communication skills in English *The date on your doctoral degree certificate is considered
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Programme? Not funded by a EU programme Reference Number 304--1-14183 Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a postdoctoral researcher
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through scientific publications and presentations Conducting independent and self-motivated research while contributing to our research team Who we are looking for PhD in inorganic solid-state chemistry
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through publications in high-impact journals and presentations at international conferences. Qualifications A PhD in Physics, Chemistry, Mechanical Engineering, Energy Sciences, or a related field, obtained
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military service. What you will do Develop and apply DNP-enhanced solid-state NMR methods for depth-resolved analysis of chemically modified cellulose fibers. Study structural heterogeneity in pharmaceutical