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machine learning. The project combines methodological research in statistics with applications to large-scale social science data. The successful candidates will have the opportunity to collaborate closely
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strong interest in plant molecular biology and live-cell imaging who is enthusiastic about developing new experimental approaches. We expect the candidate to hold an academic background in Plant Biology
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vibrational spectroscopy and microscopy techniques, the doctoral student will build a unique spectral and imaging database of Mars analogue soils and link it to spacecraft mission data (e.g., SuperCam, SHERLOC
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or heterogeneous environmental datasets Familiarity with spatial analysis, GIS, or geospatial data workflows. Experience with machine learning, modelling, or systems analysis approaches Interest in resilience
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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 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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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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education to enable regions to expand quickly and sustainably. In fact, the future is made here. Are you interested in learning more? Read about Umeå university as a workplace Description of work About the
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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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, or animal observations in ecological studies. These data are commonly analysed using spatial or spatio-temporal point processes, which describe how events occur and interact. In many applications, each event