11 software-formal-method-phd Postdoctoral positions at KTH Royal Institute of Technology in Sweden
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: Development of ML/DL methods for multi-omics data analysis. Design and implementation of computational tools and software for cancer risk prediction. This position offers the chance to engage in cutting‑edge
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within a Research Infrastructure? No Offer Description Job description Electrodeposition is a versatile and accessible method for preparing metallic nanostructures and alloys with tunable morphology
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on development of novel computational methods with state-of-the-art machine learning for gaining fundamental insights into healthy and diseased human tissues of the heart, cardiovascular system, and
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these plants. The post-doc is expected to build upon existing in-house tools and, where applicable, enhance them by means of AI (machine learning) and data-driven methods. These models are aimed to support
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overview describing the proposed research activities, objectives, methods, and potential outcomes. Proposal of research activities: Should include research questions, objectives, methodology, and
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addition to the research, the applicant is expected to participate in the supervision of master's and PhD students. Qualifications Requirements A doctoral degree or an equivalent foreign degree. This eligibility requirement
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concepts. Collaborate closely with international project partners, contributing to joint publications and dissemination activities. Participate in supervision of MSc and PhD students connected to the project
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the supervision of master’s and/or PhD students. Astrophysics research at KTH is part of the Oskar Klein Centre for Cosmoparticle Physics (OKC) at the AlbaNova University Centre (https://www.okc.albanova.se ). OKC
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of control mechanisms and evaluation methods that hold regardless of which underlying TTS technology is used. This is a core requirement in a field where generative AI models evolve rapidly. We
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map the subcellular distribution of human proteins in cell lines using immunofluorescence (ICC-IF) and confocal microscopy. The research group is also applying the latest methods for highly multiplexed