40 web-programmer-developer-"https:"-"https:"-"https:"-"UCL"-"UCL" Postdoctoral positions in Sweden
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generation, and explainability Evaluation methodologies for knowledge-intensive AI systems The project will be driven by real-world domain applications in materials, casting, and manufacturing, developed in
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–environment systems. A central component of the project is the development of next-generation process-based eco-epidemiological models that explicitly integrate environmental variability, ecological
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knowledge of cell and molecular biology techniques used to study cellular proliferation and invasion, including IHC, RT-qPCR, and Western blot. Experience in developing three-dimensional in vitro models and
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years to work in a multi-professional international team with automatization of radiotherapy treatment planning. Description of the project The project aims to develop methods for automated dose planning
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Description of the workplace The Department of Immunotechnology conducts research ranging from advanced technology development to biomedical studies. The main research areas include immuno-oncology
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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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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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. Assessment criteria and other qualifications This is a career development position primarily focused on research. The position is intended as an initial step in a career, and the assessment of the applicants
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their aggregation and fibril formation. These systems are characterized using both purified and complex samples. The work is focussed on the development of a universal cryo-Cage for structural analysis of refractory
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, compact heat exchangers, polymer and metal AM components, and advanced aerospace thermal. This postdoctoral project focuses on developing high-fidelity heat-transfer and fluid-flow models for AM-induced