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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
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. Fluency in written and spoken English, as well as strong computational skills, is required. Emphasis will be placed on personal suitability, organizational skills, collaborative work together
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to organize resources, plan, and progress work activities, and meet deadlines effectively and consistently.Experience in adapting their own skills to new circumstances.Assessment criteria and other
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The Department of Applied Physics and Electronics at Umeå University is offering a postdoctoral scholarship for a project that aims to develop hollow-core optical fibers for next-generation communication (including 6G). The postdoctoral scholarship is full-time for 2 years, starting December 1,...
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technical expertise but must also contain a well-defined training element and a qualification plan must be established for the scholarship period. Biostatistical competence and experience in working with
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relevant to the project. Ability to independently plan and conduct research projects relevant to the position. Experience with research projects involving external partners, and good communication skills in
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globally oriented university The opportunity to investigate state-of-the-art topics in product development and contribute to advancing the field Teaching in programmes with strong industry connections, where
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Stockholm University, ALPHA SU GROUP Position ID: Stockholm University-ALPHA SU GROUP-POSTDOC1 [#29882] Position Title: Position Location: Stockholm, Stockholm 106 91, Sweden [map ] Subject Areas: experimental particle physics or experimental astrophysics Astroparticle Physics High Energy...
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, advanced light and electron microscopy, and computational life sciences Guidance on relocating and settling in KTH and in Sweden Qualifications Requirements A doctoral degree or an equivalent foreign degree
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education and to the educational programmes at MDU. A broad range of topics and perspectives are thereby possible (workplace-based learning, simulation in professional education, student characteristics etc