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social issues that require more knowledge. In order to both sustainably use and safeguard forest biodiversity, a coherent basic science research program is needed that addresses large and complex issues
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year project, funded by the DDLS program, we aim to develop AI-based tools in design of affinity ligands, such as the prediction of binding interactions between proteins. Data-driven life science (DDLS
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quantum computing, quantum optics, microwave engineering, or related fields in experimental physics. Your verbal and written communication skills in English are good You are motivated for a career in
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and Architectural Engineering, and a two-year master’s program in Sustainable Structural Engineering. A Master of Science in Engineering program in Civil Engineering is currently under development
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connection with your admission to the doctoral program, your employment as a PhD student is handled. More information about the doctoral studies at each faculty is available at Doctoral studies at Linköping
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, or relevant fields. Excellent programming skills in modern programming languages are required, as well as experience in computational or mathematical modelling. Experience with the analysis of biological data
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:00 (UTC) Type of Contract To be defined Job Status Full-time Hours Per Week To be defined Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related
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the role of forests in climate change are now key social issues that require more knowledge. In order to both sustainably use and safeguard forest biodiversity, a coherent basic science research program
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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 School
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research programme on sustainable and resilient food systems in Sweden. The programme is an established science-based knowledge platform, which actively works to encourage a transformation of the Swedish