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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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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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of excellence, this research school focuses on modelling adaptive mechanisms in living systems under stress. It offers an extensive complexity science course package for doctoral students. This doctoral position
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researchers in the magnetic resonance physics group and involves both method development and applied studies. The results are expected to lead to scientific publications and contribute to continued technical
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the Swedish National Infrastructure for Computing (SNIC) and the Chalmers Centre for Computational Science and Engineering (C3SE). Learn more about the project and the research: Project overview Due
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project in collaboration with AstraZeneca Chalmers University of Technology, funded through the Wallenberg National Program for Data-Driven Life Science (DDLS). Chalmers University of Technology conducts
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Physics, Chemistry, or Materials Science. A strong background in quantum mechanics, thermodynamics, and statistical mechanics. Documented experience in programming. A strong interest in atomistic modeling
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conferences, and publication of scientific papers is expected. As a PhD student you will take compulsory and elective doctoral courses, gradually plan and execute your research project with increasing
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Plant Physiology (Umeå University, Umeå Plant Science Centre, Sweden) invites applicants
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scientific journals and presenting at conferences You will receive support from both academic supervisors and industrial partners throughout the project. Approximately 20% of your time will be allocated