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8 May 2024 Job Information Organisation/Company Roskilde University Department Department of Science and Environment Research Field Biological sciences Geosciences Researcher Profile First Stage
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biogeochemical properties of the environment. This includes measurements of natural isotopes of oxygen (d18O), macronutrients, dissolved inorganic carbon (CO2), and total alkalinity). Qualifications This position
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. The position’s field of research The Norwegian College of Fishery Science (NCFS) undertakes research and research-based teaching of high national and international quality in an interdisciplinary environment
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international research environment. Salary according to the Norwegian State salary code 1017 PhD Fellow. 2% is deducted to the Norwegian Public Service Pension Fund. Cruise and field pay according to national and
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problems Ability to create and contribute to a well-functioning, inclusive and productive research environment Ability to work both independently and as part of a team Ability to work in an interdisciplinary
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(analysis/synthesis) Reactor Design Flexibility is essential. We are looking for team players who can also work independently, who are motivated to help make, and be part of, a dynamic research environment
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initiative and come up with new ideas to solve theoretical and practical problems Ability to create and contribute to a well-functioning, inclusive and productive research environment Ability to work both
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an inclusive and safe working environment. We believe that inclusion and diversity are a strength, and we want employees with different competencies, professional experience, life experience and perspectives
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interaction with colleagues and students Wants to contribute to a good working environment As many people as possible should have the opportunity to undertake organized research training. If you already hold a
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geophysical measures. This allows for a more comprehensive and accurate understanding of marine environments and ecosystems. This project will develop novel directions within multimodal deep learning which