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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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adjustments to ensure that anybody can participate fully in the selection process. If you need an adjustment when accessing the application form, attending interviews, or for any other part of the application
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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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. 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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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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of methods, the project examines how team resources, audit processes, and organizational contexts shape the quality and credibility of sustainability assurance. The aim of the project is to develop
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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