196 web-programmer-developer "https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" PhD positions in Sweden
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) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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of LNPs under various storage conditions, the aim is to develop formulations with both high performance and improved stability. The work includes the design and systematic screening of LNP formulations
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, develop, and contribute to the interdisciplinary area of artificial intelligence, autonomous systems and software. Through an ambitious program with research visits, partner universities, and visiting
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techniques with omics-based approaches (metatranscriptomics and metaproteomics), you will uncover the molecular mechanisms that enable microbial cooperation. You will also take part in developing innovative
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First Stage Researcher (R1) Application Deadline 25 Feb 2026 - 22:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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positions in the interdisciplinary research environment “Culture and Society” to develop research on themes relevant to the thematic area “Digital Society, Infrastructure, Legacies”. This thematic area
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Stage Researcher (R1) Country Sweden Application Deadline 16 Jan 2026 - 22:59 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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both sustainably use and safeguard forest biodiversity, a coherent basic science research program is needed that addresses large and complex issues and develops new analytical tools. That’s why
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between August and November 2026. Deadline for applications is April 6th 2026. Project descriptions and work tasks The planned research aims to develop a new mechanistic understanding of the role
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. Is proficient in modern statistical modelling, AI & machine learning methods (e.g. system identification, regression models, Bayesian methods, deep learning). Is an experienced programmer in R and/or