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A fully funded 3.5 years PhD position in the field of experimental nanoscience at surfaces and molecular imaging of conjugated polymers is available in the group of Prof. Giovanni Costantini at UoB
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | 8 days ago
Job Code: 16/2025 Job Offer from July 24, 2025 The Max Planck Institute for Extraterrestrial Physics (MPE) in Garching is a world leader in the field of ground-based and space-based experimental
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University/NL. The successful candidates commit to actively participate in networking including regular research visits to the partner laboratories. Requirements: university degree in chemistry or physics and
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: Student programs Position Location: Basel, Basel-Stadt, Switzerland [map ] Subject Area: Theoretical Physics / Quantum Condensed Matter Theory Appl Deadline: 2025/06/30 11:59PM (accepting applications
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for Theoretical Physics at the University Tübingen, Germany, in the group of Prof. Daniel Braun. Depending on a DFG funding decision, an upgrade to 75% of an E13 TV-L position might be possible after the first year
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Closing Date: 15th September 2025 [23:59 GMT] Supervisor: Prof M. Sumetsky Prospective Start Date: 1 January 2026 Applications are invited for a Postgraduate studentship, supported by Aston
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the Biological and Soft Systems group of Prof. Eugene Terentjev at University of Cambridge, UK. In addition to carrying out fundamental soft matter physics and chemistry innovation, we will demonstrate
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Research Studentship in ‘Deformation and fracture of TRISO fuel particles’ 3.5-year DPhil studentship Supervisor: Prof Dong Liu, Prof Emilio Martinez-Paneda About the Project The proposed PhD
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and use innovative approaches to identify and characterise the chemical and physical interactions between cells that result in inhibition of detrimental fungi. This bioprospecting project will utilise
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experimentation with Asst. Prof. Eli N. Weinstein. Your goal will be to develop fundamental algorithmic techniques to overcome critical bottlenecks on data scale and quality, enabling scientists to gather vastly