182 computer-programmer-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:" positions in Sweden
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everything from processes at the molecular and cellular level to global processes at ecosystem level. The subject is divided into a range of sub-disciplines and specialisations. The PhD programme at
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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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, 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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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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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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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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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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. 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