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tasks: Renewable energy, notably offshore wind power, significantly influences maritime spatial planning in the North Sea. Due to the extensive space needed for Offshore Wind Farms (OWFs), addressing
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intersection between labour law, social security law and discrimination law. The ability to work independently and in a structured manner, and to collaborate with others. Proficiency in English, both written and
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in the intersection between labour law, social security law and discrimination law. The ability to work independently and in a structured manner, and to collaborate with others. Proficiency in English
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(e.g. AlphaFold) is an advantage. Experience with interdisciplinary collaborations between computer scientists and researchers from other domains is an advantage. Applicants must be able to work
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equal opportunities For more information see the SEAS webpage or send an email to [email protected] . SEAS eligibility criteria and application requirements Eligible applicants will be evaluated on transparent
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support academic freedom equal opportunities For more information see the SEAS webpage or send an email to [email protected] . SEAS eligibility criteria and application requirements Eligible applicants will be
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working conditions personal career support equal opportunities For more information see the LEAD AI webpage or send an email to [email protected] Qualifications and personal qualities Applicants must hold a
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, organisations and sectors structured skill-based training high-quality working conditions personal career support equal opportunities For more information see the LEAD AI webpage or send an email to leadai
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fashion. This understanding is key for advancing our ability to both simulate and assess extreme events using numerical models. Current approaches for precursor identification rely on expert knowledge
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(floods, droughts, blizzards, windstorms) to employ such simulations in a reliable fashion. This understanding is key for advancing our ability to both simulate and assess extreme events using numerical