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PhD position in Experimental Physics with focus on photonics and materials science (applied aspects)
Network SPARK for the doctoral project ‘Spatiotemporal Information Processing’. Last day to apply is November 30, 2026. The earliest starting date is February 2027, or by agreement. Project description
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of operation for symmetric-key cryptography, including, but not limited to, message authentication codes, pseudorandom functions, encryption schemes, deck functions, hash functions, and hash-based signatures
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clinical or biomedical data analysis. In the selection process, considerable emphasis will be placed on the applicant’s scientific potential, analytical ability, independence, collaborative skills and
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cutting edge experimental station for following molecular processes as they happen. In this PhD project, you will investigate two biologically and medically important membrane proteins: the zinc
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processes at oxide–water interfaces, investigated using advanced experimental and theoretical methods. The position is for four years of doctoral studies, including participation in research and postgraduate
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. The thesis project will focus on radiation-induced processes at oxide–water interfaces, investigated using advanced experimental and theoretical methods. The position is for four years of doctoral
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and their ability to benefit from studies at the doctoral level. After the selection of the suitable candidate, the process for the admission to doctoral studies will commence. An admission decision
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grades Copy of publications (if any) or degree thesis. Contact information for 2-3 references (can also be provided later during the recruitment process). Other documents the applicant wishes to submit
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collection and processing. We offer a collaborative environment and work closely together with expert virology groups, both locally and internationally. The Department of Chemistry is home to the Umeå Centre
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preparation Contribute to the generation, processing and interpretation of genome-wide datasets Integrate experimental results with computational analyses Develop reproducible workflows for experimental and