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look forward to receiving your application! Join our cutting-edge research team at Linköping University to revolutionize protein modeling with AI! Work assignments Join our world-leading research group
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checks. Both parts are meant to support data-driven computational modeling for applications in epidemics. For a further description of the proposed project, see this document. The Department
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3D MT data and familiarization with 3D anisotropic inversion software; Acquisition of new regional 3D MT data, data processing and 3D inversion; Interpretation of anisotropic models and integration
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techniques, such as cluster analysis and structural equation modeling, are required. Previous work experience and knowledge of child and adolescent psychiatry from one or more Nordic countries are also
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breakthroughs in deep learning–powered protein design, recognized by the 2024 Nobel Prize in Chemistry, have enabled the creation of proteins with near-atomic accuracy. Models such as RFdiffusion, LigandMPNN, and
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communications and networks Beamforming and MIMO algorithms Millimeter wave communications Terahertz band communications Visible light communications Channel modeling and/or interference modeling Beam tracking and
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MEuro) with nearly 40 industrial and academic partners. The work constitutes an integral part of research activities within several projects on flight electrification at FEC. Modelling and simulation
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University of Technology , where you will develop explainable AI models for personalized treatment planning in sports medicine and orthopaedics. You will work in a highly interdisciplinary environment
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breakthroughs in deep learning–powered protein design, recognized by the 2024 Nobel Prize in Chemistry, have enabled the creation of proteins with near-atomic accuracy. Models such as RFdiffusion, LigandMPNN, and
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genetic analyses and generalised linear mixed-effects models, and ideally also in the use of some mathematical models (e.g. Integral Projection Models) Experience in data processing, statistical analysis