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, symplectic geometry, derived categories, and enumerative geometry. About You The successful applicant will have, or soon obtain, a PhD degree in mathematics or related, or equivalent level of professional
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results. Requirements To qualify for an employment as a postdoctor you must have a PhD degree in Mathematics or Theoretical Physics or a foreign degree equivalent to a PhD degree in Mathematics
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FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria knowledge extraction, modeling and management; programming The expected profile is a candidate with a PhD Industrial
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stability in thin-film equations, which includes mathematical modelling, well-posedness analysis, analytical bifurcation, and spectral theory. The study of related subjects and the development of new tools
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mathematical modeling and programming. * Research experience and publications in machine learning, complex networks, and mathematical modeling. * Excellent English communication skills (written and oral
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We are offering an opportunity for a postdoctoral researcher with a background in applying mathematical models to the study of the brain to join a newly established group at the First Department of
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Postdoc Position in Models of Quantum Programming Languages (Sapere Aude: DFF-Research Leader Pro...
models of quantum programming languages. The ideal candidate holds (or is expected to soon hold) a PhD degree in computer science, mathematics, physics, or a more specialised degree in quantum computing
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ranging from neuroanatomy and neurochemistry via neuroimaging to mathematical cognitive modelling. What are you going to do As part of the project, you will carry out microscopy processing of human-brain
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activities, submit publications to reputed journals and liaise with academic collaborators and sponsors. You must have obtained or be close to obtaining a PhD in engineering, mathematics, physics, materials
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: PhD in engineering or related field, with post-doctoral research experience in flow and transport in porous media. - Know-how: Mathematical modeling, micro/milli-fluidic experimentation - Soft skills