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will design, implement, and evaluate, within the framework of Design-Based Research, a professional development programme that supports STEM instructors in using AI effectively and critically in
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plan for and retire across more than one country due to factors such as health, climate amenities, socio-economic status, cultural values, and proximity to family, among others. These rapidly evolving
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investigates retirement experiences across countries, with a focus on the connections to the welfare state, family care networks, and the retirement industry. Today’s older adults are more likely to plan for and
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; Solid background in Computer Science and Mathematics; Good programming skills in e.g., Python, C, C++; Experience with Cryptography; Experience with Machine Learning is a plus; Excellent written and oral communication
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outcomes; working knowledge with the Python programming language (with helps from generative AI); a “tool-builder” mindset with the ability to develop methods and solutions from scratch; a general
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and mathematics. There is a stimulating atmosphere in the group, a diverse range of nationalities, and an active visitor program which attracts the best string theorists from all over the world. Our
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for creative, motivated, and determined candidates, who meet the following requirements: A Master's degree in Chemistry. Experience in organic synthesis. Good communication skills in English. Conditions of
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. Ensuring timely and consistent access to medical test results is crucial for improving the efficiency of healthcare providers. For example, doctors need to know when test results will be available to plan
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Introduction Description of the research program Transplantation is the preferred treatment for patients with end-stage kidney disease. However, many transplanted kidney transplants fail prematurely. This leads
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collaborating with partners and stakeholders within and outside the project. Writing and defending a PhD thesis within four years. Participate in teaching tasks as part of the program. In the context