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. Our community is open and informal, with more than 7,000 students, 1,000 PhD students, and 1,400 staff members from all over the world. If you would like to learn more about the Faculty of Science and
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community of PhD candidates and postdocs and apply your methodologies to the rich datasets available within the consortium. The programme builds on and fosters many national and international collaborations
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. Our community is open and informal, with more than 7,000 students, 1,000 PhD students, and 1,400 staff members from all over the world. If you would like to learn more about the Faculty of Science and
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to your expertise. What do we require? A PhD degree (or equivalent qualification) in AI (e.g., machine learning, natural language processing or computer vision); A strong scientific track record, documented
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-learning based vision pipelines to preprocess, segment cells and perform phenotype classification and regression on a variety of microscopy images. You will deal with images from multiple microscopy domains
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candidate with a PhD in ecology, ecotoxicology, or environmental modeling, and strong analytical and programming skills (e.g., R or Python). Experience with biodiversity metrics, ecosystem service modeling
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. Are you eager to explore the role of such social dynamics, drawing on insights from multiple disciplines? Are you curious about what we can learn from energy-related interactions in different contexts, from
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-oriented solutions, and the advancement of knowledge. The first sub-project; a PhD track, focusses on the characteristics of transformative competencies to be achieved as learning outcomes, and pathways
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courses to follow from our Teaching and Learning Centre; a complete educational program for PhD students; multiple courses on topics such as leadership for academic staff; multiple courses on topics such as
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community. Job requirements You have: A PhD in education sciences, learning sciences, engineering education, or a closely related discipline. Proven expertise or strong interest in educational research design