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sustainable future through materials science. Read more: https://wise-materials.org All early-stage researchers recruited into the WISE program will be a part of the WISE Graduate School https://wise
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the subject areas of IAS research. An interest in working in a collaborative environment. Desirable skills and experience include: Experience with state-of-the-art research methods, such as social network
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knowledge in another way. Special qualifications: 90 credits of your total credits should be in a subject of central importance to the research area. Relevant academic backgrounds are biotechnology
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level in electrical engineering, electromagnetic engineering, wireless engineering, engineering physics, applied physics, a closely related field. Good command of electromagnetic simulation tools such as
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level in engineering, applied physics, materials chemistry, physical chemistry or similar subject areas, or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced
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of full-time. Your qualifications You have graduated at the Master’s level in Molecular Biology, Computational Biology, Immunology, or a related field, or completed courses with a minimum of 240 credits
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subject area, or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses in the relevant areas for the project. Alternatively, you have gained essentially
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on advanced level. Alternatively, you have gained essentially corresponding knowledge in another way. Special qualifications: 90 credits of your total credits should be in a subject of central importance
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ECTS-credits from the second cycle in the field of computer science; alternatively demonstrated essentially equivalent knowledge. We expect candidates to have previous experience in areas such as
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. The task is to understand phenomena like “model collapse” and implementing strategies to avert it, using tools from the Systems and Control field. Wallenberg AI, Autonomous Systems and Software Program (WASP