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data is needed to process the application. Submitting an application General information on the application via DAAD portal Applications for this scholarship programme are possible in the period June
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. Please indicate in your application which of the above listed projects is most intriguing for you. Your profile Eligible candidates have strong skills in computational molecular (bio)physics, statistical
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applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file to vpajob at tu-dresden.de or to: TU Dresden, Chair of Traffic Process Automation
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available in the further tabs (e.g. “Application requirements”). Objective This scholarship programme offers you the opportunity to continue your education in Germany with a postgraduate or complementary
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to mastering the great challenges facing society today. At the Institute of Radiopharmaceutical Cancer Research scientists (f/m/d) from the fields of physics, chemistry, biology, pharmacy, immunology, medicine
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to you on the website: https://tu-dresden.de/karriere/datenschutzhinweis . This project has received funding from the European Union’s Horizon Europe research and innovation program under the MARIE
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the DFG Priority Programme “Molecular Machine Learning” and embedded in the research project “Multi-fidelity, active learning strategies for exciton transfer in cryptophyte antenna complexes”. The PhD
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Master’s degree (or equivalent) in a relevant discipline such as computer science, mathematics, physics, or data science. They should have strong analytical skills related to statistics, machine learning
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compounds, etc. The project will focus on the i) development of membrane filtration systems and operation with novel nanofiltration membranes, ii) examination of the physical/chemical processes inside
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collaborative projects Involvement in outreach activities and supervision of Bachelor’s and Master’s theses About you: Completed university degree (Master’s or equivalent) in physics, computer