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advantage. A good background in numerical modelling of geophysical data is also an advantage. The successful candidate should demonstrate: - strong analytical and problem-solving skills; - enthusiasm
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some other way. The position also requires: good knowledge of physics, numerical methods, statistics and/or machine learning, good programming skills, for example in Python, Julia, C++ or equivalent, good
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across disciplinary boundaries in electrochemical catalysis, spectroscopy, materials science, and sustainable chemical conversion. The position requires good communication skills in English, both written
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effectively with researchers from different scientific backgrounds. Good communication skills and a willingness to explore research questions across traditional disciplinary boundaries are important. Great
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. The successful candidate should be able to work independently, take initiative, and collaborate effectively with researchers from different scientific backgrounds. Good communication skills and a willingness to
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variety of methods including cell culture, molecular biology, and biochemistry is advantageous. Good skills in both written and spoken English are required. Employment The employment is full time and
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assessment (high consideration is given to experiences with integrated and state-space models, simulations and management strategy evaluations), a good scientific publication record. Experience in marine
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researchers have extensive experience in doctoral education and supervision. More information about the department of Energy and Technology, SLU https://www.slu.se/en/departments/energy-technology/ Read more
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at SLU by visiting: https://www.slu.se/en/about-slu/work-at-slu/ Location: Uppsala Form of employment: Fixed-term employment 3 months Scope: 80% - 100% Start date: As agreed. Application: Please submit
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strong interest in sustainable livestock production and research in ruminant nutrition, environmental impacts, and production systems. The candidate should have good interpersonal skills and the ability