923 web-programmer-developer-"https:" "https:" "https:" "https:" "University of Southampton" positions in Sweden
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Subject description The postdoctoral fellow will join a project focused on developing protein-based electronic components, with the ultimate goal of enabling in-cell production of semiconductor
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investigates the molecular mechanisms that govern plant development, with a particular focus on symmetry breaking processes in tomato flowers. Symmetry breaking is a fundamental biological phenomenon in which
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the foundation for learning, creativity and development. We welcome people with different backgrounds and experiences to apply for the current employment. We kindly decline offers of recruitment and advertising
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the foundation for learning, creativity and development. We welcome people with different backgrounds and experiences to apply for the current employment. We kindly decline offers of recruitment and advertising
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). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and risk factors. The main objective is to design and apply machine learning and deep
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and development for all employees. We are also committed to building a safe and positive environment for all employees through mutual respect and tolerance. Description of the project The position
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, development, and participation for all employees. The research group is now seeking a full‑time (100%) doctoral student starting on 17 August 2026 (or as agreed). We offer Lund University is a public authority
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. The project and research environment will give the dedicated student the opportunity to train as a first-class researcher. Qualifications Applicants must hold a University degree at advanced levelor
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the foundation for learning, creativity and development. We welcome people with different backgrounds and experiences to apply for the current employment. We kindly decline offers of recruitment and advertising
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will also use focussed ion beam milling scanning electron microscopy (FIB-SEM) to prepare infected cells for in situ cryo-ET. The resulting tomographic data will be analysed by machine-learning assisted