12 parallel-computing-numerical-methods "MIT" 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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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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someone with A PhD in Medical Science or a related field. Extensive experience in cell culture and molecular biology methods for protein analysis, such as Western blotting, ELISA, and multiplex
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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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(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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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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to a maximum of 20% of working hours. The candidate will design new concepts, material compositions and fabrication methods for sustainable and stretchable printed fluid batteries . The work involves
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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
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new catalysts and reactions in our reactor, equipped with in-line gas-chromatography and mass-spectrometry. Synthesize heterogeneous catalysts by a variety of methods. Utilize relevant characterization