11 parallel-computing-numerical-methods "Fields Institute" Postdoctoral positions at Linköping University
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computing, both within our department and two other universities in Sweden (KTH and Umeå University). The project is coordinated by Professor Simin Nadjm-Tehrani within the Cybersecurity division at
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commercialization, the latter carried out in close collaboration with the institute RISE. LOE currently has ~175 researchers and research students working within 13 research groups, each led by a
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, our actions together, large and small, contribute to a better world. We look forward to receiving your application! Work assignments You will join the research project Countering Bias in AI Methods in
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its kind in the world, and the project has established methods support from the IT’IS Foundation and TI Solutions in Zurich (computational modelling) and Princeton University (MRI methodology). You
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in English. Strong collaborative skills and the ability to work systematically with several stakeholders and parallel activities. The following experience is particularly advantageous: Implementation
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, biochar, carbon-based materials, or biocomposites. Experience with printing technologies such as screen printing, syringe printing, or other solution-based fabrication methods. Experience with
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(SAMs), as well as predicting their effect on the transport of charge carriers lies beyond the reach of standard simulation methods. The material simulations in this postdoctoral position include
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and statistical inference theory, with applications in several fields of science. Special emphasis will be devoted to practical problems in economics and finance, like the construction of high
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and improve cancer immunotherapies. The project aims to understand how the diverse immune cells in the tumor microenvironment drive response or resistance to immunotherapy in lymphomas, using methods
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knowledge to predict metastasis through integrated analysis of clinical data, molecular profiles and mechanistic models. As postdoc, you will develop and apply methods for analysis of multimodal