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Description For our location in Hamburg we are seeking: PhD Position Excellence Cluster BlueMat Water-Driven Materials Remuneration Group 13 | Limited: 3 years | Start: 01.05.2026 | ID: FSDO004/2026
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improving water quality management. Important Information: Applications for more than one PhD studentship are welcome, however if you apply for more than one PhD project within Biomedical Sciences, your first
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The position A position as PhD Fellow on the study of microbial (i.e. algae, bacteria, fungi) taxonomic diversity and productivity in the sea ice biome is available at the Department of Arctic and Marine Biology
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quality monitoring, and/or nature-based water treatment designs. In addition, the candidate should have some experience in AI, machine learning, and/or managing large data sets related to water resources
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22nd March 2026 Languages English English English Faculty of Biosciences, Fisheries and Economics PhD Fellow in Sea Ice Microbial Diversity and Production Apply for this job See advertisement
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for agricultural applications to improve crop yield, water management, and nutrient optimisation. PhD students will be involved in the development of novel sensors for mixed field neutron and gamma ray detection in
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PROJET-PEPR : MOF composites for the overall CO₂ reduction through panchromatic photocatalysis (M/F)
the solar spectrum, allowing efficient CO2RR using water as a sacrificial electron donor. CO₂ is often regarded as a cost-free C1 feedstock, making its conversion into high value-added synthetic fuels
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the Medical Faculty and the Institution for Clinical Sciences Lund University in Malmö. The group consist of 3 PhD students, 2 postdocs and does research on various aspects of anesthesia and intensive care
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the Previzo project, whose objective is to develop an artificial intelligence based decision support tool to optimize water resource management, in particular by anticipating water related crises and conflicts
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highly motivated PhD student to develop advanced models for predicting the fatigue life of additively manufactured steel in nuclear reactor water environments. The project focuses on modeling corrosion