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postdoctoral scientist who is excited to develop a user- and developer friendly software platform for MINFLUX. • You should hold a PhD degree in computer science physics or engineering. • You should have a
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doctoral/PhD degree in Computer Science, Business Informatics, or a closely related field, whereby knowledge of computer science is assumed to be a given. You have established experience in software
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laws and symmetries into architectures like neural operators, physics-informed neural networks (PINNs), and graph-based solvers, the project aims to accelerate simulations in areas including protein
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neural networks. The key challenge? Designing robust and stable numerical schemes that remain efficient even in high dimensions, effectively pushing back against the curse of dimensionality. The ideal
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Researcher (R1) Positions PhD Positions Country Austria Application Deadline 1 Oct 2025 - 23:55 (Europe/Brussels) Type of Contract Temporary Job Status Part-time Hours Per Week 30 Offer Starting Date 1 Mar
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economies. For this purpose, the project defines resources in an economically universal way and augments the standard microeconomic toolkit of general equilibrium analysis by introducing production and
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performances, theories of performativity Completed Austrian PhD or equivalent degree from a university outside of Austria Outstanding academic qualifications in the field (excellent track record of publication
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 13 days ago
teaching activities of Animal Nutrition, 3) Cooperation in research projects with gut microbiome, metabolome and nutrition aspects as well as co-supervision of PhD and Diploma students, 4) Preparation of own
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students This is part of your profile: A PhD degree in microbiology, soil sciences, or a related field. Experience in soil microbiology and measurement of physicochemical soil parameters. Publications in
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/PhD in a mathematical branch of study Solid knowledge of one of the following fields: mathematical methods, analysis and numerics in imaging, inverse problems or data sciences Ability to integrate