246 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" Postdoctoral positions in Sweden
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. Documented knowledge and experience in computational metabolomics, computational biostatistics, statistical and machine learning, involving analysis of biological multi-modal and multivariate data, or related
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their doctoral degree earlier may also be eligible. Special reasons include absence due to illness, parental leave, appointments of trust in trade union organizations, military service, or similar circumstances
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to act as references. A brief research statement (1-4 pages) outlining your research interests, including previous work and independent research plans. Applications to be made at https://web103
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/or spatial genomics, computational biology, machine learning, bioinformatics, and systems neuroscience. Prior experience with deep learning applied to biological data is a plus. Practical experience
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geometries. However, AM-generated surfaces exhibit significant and highly irregular roughness, a key factor that strongly modifies turbulence, pressure drop, and heat transfer. Unlike conventional machined
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, development of chemical process solutions for repurposing of electrodes, and integration of AI-based vision and active machine learning to optimize the efficiency of the process. Writing publications and
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detail in the “Guidelines for employment and promotion of teachers and appointment to docent,” available in Section “Instructions to applicants” at: https://www.bth.se/eng/about-bth/vacancies Meriting
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Plant Science Centre (UPSC, https://www.upsc.se ) which is a centre of excellence for experimental plant research and forest biotechnology in Northern Sweden. Our mission is to perform excellent and
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. Chalmers was founded in 1829 and has the same motto today as it did then: Avancez – forward. Where to apply Website https://academicpositions.com/ad/chalmers-university-of-technology/2026/postdoc
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that you will help us to build the sustainable companies and societies of the future. The research at the Division of Machine Elements is mainly focused on tribology and its applications. The research group