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qualification in a relevant subject e.g. bioinformatics, computer science or similar At least two years’ experience of working in a research environment with bioinformatics, genomics and interpretation of big
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application! Work assignments Subject area: Computational studies of the influence of microstructural features on the structural integrity of metallic materials using machine learning Subject area description
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to attract external funding in competition ability to supervise and examine at doctoral level and mentor postdoctors The assessment of pedagogic skills will consider the ability to plan, conduct and evaluate
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simulations Experience of work in the maritime sector or marine management Swedish language skills (spoken and written) Your tasks As a PhD student, your responsibilities will include: Plan and conduct research
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] Subject Areas: Theoretical Physics / Statistical physics Machine Learning Complex Systems Computational Science and Engineering / AI/ Machine Learning , Artificial Intelligence , Data Sciences , Machine
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Access to third-cycle courses and study programmes at a higher education education as well as basic eligibility requirements and assessment criteria, are regulated in the Higher Education Ordinance chapter
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cells and proteins. Our research is in close collaboration with academy, health care and industry both nationally and internationally. Duties Within this project you will plan, design and perform research
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examine at doctoral level and mentor postdoctors The assessment of pedagogic skills will consider the ability to plan, conduct and evaluate their own teaching at first, second and third cycle level
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and mentor postdoctors The assessment of pedagogic skills will consider the ability to: plan, conduct and evaluate their own teaching at first, second and third cycle level supervise and examine
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graduate courses within the Master of Science in Engineering programmes in Water and Environmental Engineering and Energy System, both of which are offered in collaboration with Uppsala University. We also