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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you an enthusiastic early career researcher who is keen to work on integrated
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sciences. Prior machine learning or Python experience is a strong bonus, but not a must. We seek colleagues who enjoy coding, scripting and analytics, and are keen to push the boundaries of data-driven
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well as independently. Excellent communication skills for interacting effectively with senior colleagues and peers are required. Great emphasis will be placed on personal suitability. As an employee with us, you
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employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We place particular emphasis on enhancing women’s representation among the academic and general
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Are you an enthusiastic early career researcher who is keen to work on integrated environmental assessment, offshore wind energy systems, biodiversity impacts, and life cycle assessment (LCA
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and analytics, and are keen to push the boundaries of data-driven materials science and machine learning in atomistic simulations. This project requires creative thinking and programming, as
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do so. Excellent Proficiency in scientific English (speaking, reading, and writing), at C1 level or higher. Proficiency in use SPSS and/or R or willingness to learn. A keen and demonstratable interest
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Excellence in Research Award for its HR policy. We are a sustainable, family-friendly organisation which invests in its employees’ growth. We encourage diversity and attach great importance
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pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental
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background and/or keen interest in spatial cognition, including topics such as spatial learning, navigation, and environmental perception and behavior. Hands-on experience in designing and using immersive