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“learning from nature” approach to explore how novel protein crops and their close relatives interact with neighbouring plants and the wider ecosystem, translating these insights into biodiversity-positive
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machine learning and AI research. Strong analytical thinking, problem-solving skills, and the ability to engage with complex data challenges will be greatly valued. Experience with Python or AI frameworks
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shipbuilding industry and develop frameworks and knowledge of AI-enhanced planning in shipbuilding supply chains. Apply quantitative methodologies, such as simulation, analytical modelling, and AI‑driven
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knowledge of AI-enhanced planning in shipbuilding supply chains. Apply quantitative methodologies, such as simulation, analytical modelling, and AI‑driven techniques, to develop decision support for efficient
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and develops new analytical tools. That’s why the WIFORCE Research School, part of the Wallenberg Initiatives in Forest Research (www.slu.se/en/wiforce ) , was created. The PhD student will be employed
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PhD Candidate on The Future of Mixed Methods Research /Junior Lecturer in Methodology and Statistics
support senior teachers and offer guidance. You teach qualitative research methods and general courses in research methods in the programs in which the Methodology and Statistics department is involved
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provides an exciting opportunity to explore and combine different research areas as well as to learn a variety of scientific skills and technologies while making connections within and beyond the institute
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to acquire and develop reflexive, participatory and transdisciplinary research skills. You will be part of a vibrant and supportive interdisciplinary, international community at the Copernicus Institute
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, sociology, health psychology) who demonstrates a large set of the following qualities: Strong quantitative skills with enthusiasm for real-world data and modern analytic methods; proficient in R. Meticulous