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: The successful applicant must have the following: • PhD degree in natural sciences, electrical engineering, physics, optics, medical technology, biomedical computing, or related fields • Experience in
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, enrichment analyses - biological interpretation of data Your qualification - PhD/MSc degree in bioinformatics, computer science, mathematics, life sciences - background in Machine Learning and/or RNAseq
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magnetic phenomena generated using ions and femtosecond laser pulsing. The position is funded by the DFG and is suitable for either a PhD or a Postdoc, depending on qualifications. You will build on recent
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Description The Chair for Pharmaceutical and Medicinal Chemistry at the Institute for Pharmacy and Food Chemistry at JuliusMaximilians-Universität Würzburg (JMU), Germany, is inviting applications
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) Bachelor’s degree (university or university of applied sciences) in Biology, Biotechnology, Agriculture or in another relevant field Enrolled in a master’s program at a European university or university
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visualization Scientific Environment The professorships will be assigned to the TUM School of Computation, Information & Technology, Department of Computer Science, located at the TUM Campus Heilbronn and
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 2 months ago
by Wednesday 11 June 2025. Please see the advice on the Entry requirements for postgraduate research programmes . Please apply to the programme “PhD Geography (Science)” on the How to apply
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, an exciting project at the intersection of design computation, AI, and robotic fabrication. The position is expected to start in August 2025, or as mutually agreed. The position is located at the Professorship
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, Cottbus and Dresden. Applied research focuses on technology developments in the areas of wafer level system integration and interconnection technologies at board, module and package level. Application
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with PhD in physics, chemistry, materials science, chemical engineering, computer science or a related discipline Extensive knowledge of X-ray science Profound experience in data analysis, machine