179 computer-programmer-"https:"-"CNR"-"https:"-"https:"-"https:"-"https:"-"U.S" positions in Sweden
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research project is funded as part of Lund University’s excellence initiative Excellence Programme for Sustainable Development - Lunds universitet . We study water governance and water management, primarily
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programs and courses at the undergraduate, advanced, and research levels. The social work program has approximately 1,200 students and is offered in parallel at the Lund and Helsingborg campuses. Duties and
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, and is financed by SciLifeLab and the Wallenberg National Program for Data-Driven Life Science (DDLS) and the Wallenberg AI, Autonomous Systems and Software Program (WASP). Work tasks and
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, where the mentioned division formally belongs to LTH. Research at CMS currently covers areas such as pure mathematics, applied mathematics, mathematical statistics, as well as computer vision and machine
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of preclinical validation in relevant disease models. The project is part of a broader research program (ERC Synergy grant) and may also include administrative tasks and collaboration with other disciplines
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equality and diversity as a strength and an asset. Work duties The work involves field studies and associated computer, greenhouse and laboratory work as part of the POLLCLIM project that focuses
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forests and safeguard forest biodiversity, a coherent basic science research program is needed that addresses large and complex issues and develops new analytical tools. That’s why the WIFORCE Research
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computational workflows including: - Profiling open chromatin, histone marks, methylation, and chromatin conformation during wood development and drought stress in spruce/pine. - Building integrative analyses
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offers a number of programs and courses at the undergraduate, advanced, and postgraduate levels. The social work program has approximately 1,200 students and is offered at both Lund and Helsingborg
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. The postdoctoral scholar will take a leading role in the the BeeSYNC project, focusing specifically on: Computational Natural History. The researcher will develop deep learning models to predict individual bee age