90 evolution-"https:"-"https:"-"https:"-"Linnaeus-University" positions at Aarhus University
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. An active institutional commitment to diversity, equity, and inclusion – in recruitment, career development, and everyday interactions. An innovative and meaningful workplace where your work contributes to
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laboratory analysis of polar ice core gases is highly desirable. The research will include system development and testing in the Ice Core Gas Lab at the British Antarctic Survey and an extended stay in
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Track Programme is to: attract outstanding talented individuals that are competitive at an international level to promote the early development of independent research success early in the career
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fixed term contract for 36 months. Research staff at King’s are entitled to at least 10 days per year (pro-rata) for professional development. This entitlement, from the Concordat to Support the Career
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inclusion – in recruitment, career development, and everyday interactions. An innovative and meaningful workplace where your work contributes to solving real-world challenges. No two days are alike, and we
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disciplines. A flexible working environment that supports work-life balance and individual needs. An active institutional commitment to diversity, equity, and inclusion – in recruitment, career development, and
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inclusion – in recruitment, career development, and everyday interactions. An innovative and meaningful workplace where your work contributes to solving real-world challenges. No two days are alike, and we
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management of Science Bridge’s budget and resources, as well as for monitoring, learning, and reporting on activities and outcomes. Contribute to the overall development of the Faculty of Natural Sciences and
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families. Specifically, we offer: Access to state-of-the-art facilities and computing infrastructure; Strong support for research career development, including mentoring and international networking
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/or large genetic datasets. This may include genetic analyses, causal inference, epidemiological analyses, and clinical prediction modelling using machine learning approaches, and development