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29th April 2026 Languages English English English We are looking for a PhD student in Computational Neuroscience at the Kavli Institute for Systems Neuroscience PhD in Computational Neuroscience
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. An applicant must possess a PhD degree in physics or related field and demonstrate a strong track record of research in experimental condensed matter physics. Appointment at Associate Professor level or above
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PhD Working Language English Required Degree Master Areas of study Physics, Experimental Physics, Nanotechnology, Nanosciences, Theoretical Physics Description Description The Center for NanoScience
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physical and sport activities within the various modules of the Bachelor’s degree in Motor Sciences, the Bachelor’s degree in Physiotherapy and Rehabilitation, as well as within the Master’s degree in Motor
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Design and synthesis of mesoporous zeolite catalysts for the conversion of sugars into biofuels and high-value chemicals School of Mathematical and Physical Sciences PhD Research Project Self Funded
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 30 days ago
expected to begin in Abril 2026, and may be eventually renewed. Eligibility criteria Admission Requirements: To be enrolled at a PhD. Selection process Selection methods: The selection methods will be
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 19 days ago
and machine learning. This project also takes place in the PEPR NumPEx, an initiative to improve the use of supercomputers for physical simulations. The results from the PhD will thus be integrated
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, numerate subject (such as maths and physics), including Matlab programming. Full details of how to apply can be found at the following link: https://www.sheffield.ac.uk/acse/research-degrees/applyphd
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-Watt University. A PhD degree in geophysics, geosciences or a similar discipline is required at the time of the appointment. Date of expected start of employment: 01.05.2026 Term of employment: two years
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. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). The Goddard Earth Observing System (GEOS) global 4D hybrid Ensemble-Variational (EnVar) data assimilation