291 computational-physics "https:" "https:" "https:" "https:" "University of Cambridge" positions at DAAD
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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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Chemistry, Physics, Materials Science, or Geosciences Experience in Raman spectroscopy, glass corrosion, and/or radiochemistry Excellent written and spoken English skills High motivation for independent
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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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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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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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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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gas/solid interfaces. The project is embedded into interdisciplinary and international cooperations involving partner groups from natural science and engineering ( https://www.sfb1452.research.fau.eu
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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
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the research community and public About you: Completed scientific university studies (Master), in physics, chemistry or materials science Experience with electrochemistry / electrocatalysis Experience with X-ray
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coating, iii) investigation of system design from small-scale to potentially pilot scale, and iv) application to micropollutant removal. Modelling aspects are open to exploration at molecular and process