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macromolecular modeling: Investigate electronic, optical, molecular, and transport properties of soft materials, including conductive and semiconductive polymers, biopolymers, and macromolecules, to optimize
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optimize catalysts for the production of sustainable aviation fuels from bio-based feedstocks. The use of bio-based feedstocks results in new challenges and the optimal catalysts as well as the relevant
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driven analysis of electron density to reduce the computational costs of multiconfigurational calculations. Design and implement optimization procedure for model potentials and atomic basis sets
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. Applications are within 6G mobile access, distributed intelligence and computing, and drone swarms. As postdoc, you will principally carry out research. A certain amount of teaching may be part of your duties
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cross-layer defenses that ensure secure and efficient AI model development at scale. Information about the division The department of Computer Science and Engineering is strongly international, with
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, proof assistants, term rewriting systems, optimizing compilers, program analysis tools, constraint solvers, or similar. Familiarity with linear algebra libraries and high-performance computing
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that will be affiliated with one of six possible multidisciplinary projects. The ideal postdocs will have expertise in some of the following areas: computational modeling, computational biology, computational
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previous experience with e-graphs, or is familiar with theory and algorithms used by, for example, proof assistants, term rewriting systems, optimizing compilers, program analysis tools, constraint solvers
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Description of the workplace The position will be placed at the division of Computer Vision and Machine Learning at the Centre for Mathematical Sciences. The Centre for Mathematical Sciences is an
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social issues that require more knowledge. In order to both sustainably use and safeguard forest biodiversity, a coherent basic science research program is needed that addresses large and complex issues