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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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the Humanities/ Social Sciences disciplines, to join the Wellcome Trust funded discovery project After the end: Lived experiences and aftermaths of Diseases, Disasters and Drugs in global health
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%) Complete coursework relevant to the PhD program Your profile Required qualifications MSc degree in Environmental Engineering, Chemical Engineering, Civil Engineering, Biotechnology, or a related field
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focus on eye tracking Collaborating closely with partners from computer science (IAS-7, RWTH) Presenting your work at psychological and interdisciplinary conferences Publishing your findings in scientific
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program. Technical queries should be directed to Benedikt Jahnel (benedikt.jahnel@wias-berlin.de ) or Lukas Lüchtrath (lukas.luechtrath@wias-berlin.de ). The working hours are 29,25 hours per week and the
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program. NUCLEAR brings together European leaders in the fields of metabolomics, functional genomics, chromatin regulation, stem cell biology, and cancer with innovators in precision nutrition, mass
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Commission under the Horizon Europe framework program. NUCLEAR brings together European leaders in the fields of metabolomics, functional genomics, chromatin regulation, stem cell biology, and cancer with
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Deutsche Forschungsgemeinschaft within the Reinhart-Koselleck programme for innovative high risk-high gain research. Requirements: university degree in chemistry or physics and profound knowledge in
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: Sucessfully completed scientific university degree (Master) in the fields of chemical engineering, process engineering, chemistry or a comparable discipline Knowledge of hydrogen and energy research is an
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networking with colleagues and students; planning and organising research resources and workshops. Successful applicants will have or be near to completing a PhD in computer science, information engineering