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. For more information see https://www. umu.se/en/research/groups/nausica-privacy-aware-transparent-decisions-group-/ The postdoctoral position is funded by WASP Wallenberg AI, Autonomous Systems and Software
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Do you want to use functional programming to find new ways to develop, test and formally verify software or hardware? Chalmers, with its world leading groups in functional programming and formal
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could develop the algorithms, models and software that: design and simulate self-assembling DNA nanostructures and molecular machines; turn artificial molecular networks into images — reconstructing where
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for a candidate with a strong interest in research and ideally some previous experience in data analysis, such as analysis of genetic data using statistical software. We welcome applicants with diverse
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modern deep learning frameworks (PyTorch, JAX, or equivalent). Have good software engineering habits — modular, well-documented, reproducible code. Are comfortable working in interdisciplinary teams and
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into decision-making research, experience in writing scientific manuscripts, and advanced, documented proficiency in R, Stata, or similar analytical software used for modeling. Further advantages include working
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proficiency in R, Stata, or similar analytical software used for modeling. Further advantages include working knowledge of Swedish and experience in conducting surveys and/or interviews as data collection
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good software engineering habits — modular, well-documented, reproducible code. Are comfortable working in interdisciplinary teams and can communicate effectively across computational and experimental
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realizing such privacy-preserving systems. The position is funded through the Wallenberg AI, Autonomous Systems and Software Program (WASP). WASP is Sweden’s largest individual research program ever, a major
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funded by Wallenberg AI, Autonomous Systems and Software Program (WASP). WASP is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research