935 web-programmer-developer-"https:" "https:" "https:" "https:" "University of Southampton" positions in Sweden
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between people and pave the way for science, creativity and development. Therefore, we welcome applications from people with diverse backgrounds and perspectives. Where to apply Website https://web103
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combines metabolomics, microbiome science and computational modelling to develop new food intake biomarkers and to understand individual metabolic responses to diet and develop personalized nutrition
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health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), coordinated by SciLifeLab, aims to recruit and train the next-generation of data-driven
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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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for everyone to develop in the subject and as a person. Subject description Structural Engineering includes loads, design, sustainability, load carrying capacity, repair and strengthening, of buildings and civil
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral fellowship in
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, developed at University of Missouri, USA. At Lund University, the method is used at the Faculty of Engineering, Faculties of Humanities and Theology, and Faculty of Social Sciences. We offer Lund University
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for the SI program at the department. You will also have collaboration with other SI leaders within the programme. Supplemental Instruction (SI) is an academic assistance program, developed at University
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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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This project targets the development of advanced grey-box modeling frameworks for multiphase flow systems, combining mechanistic, multi-scale flow models with data-driven inference and uncertainty quantification