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of this research is assessing the fitness of geospatial indicators to inform conceptual and policy-relevant understanding of vulnerability processes for disaster risk reduction and climate adaptation. The researcher
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recently completed (or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs
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successful candidate will possess skills in natural language processing and deep learning. Experience of studying the robustness and generalisability of LLM would be beneficial. This is a full time post (35
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results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based
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process, the role of ISOs passing through molecular clouds, taking part in molecular cloud collapse and disc formation. Your tasks in detail: Perform scientific work on the research topic, in collaboration
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facilities Competitive research in an inspiring, world-class environment A wide range of offers to help you balance work and family life Further training opportunities and free in-house language courses
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the application process. Please submit your application in English no later than 15th August 2025 under the following link Online application As soon as the selection procedure has finished, all application papers
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with disabilities to apply. Qualified disabled applicants will receive preference in the application process. Please submit your application in English no later than 15th August 2025 under the following
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iNANO at Aarhus University is seeking a postdoctoral fellow for the Novo Nordisk Foundation CO2 R...
with a focus on anaerobic metabolism, electromicrobiology, electrochemical reactor design, and operation. About us The Spormann lab, in close collaboration with Angenent lab and Dr. Bruce Logan, Penn
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physics, engineering, medicine, biology or a related field Practical experience in optics, signal processing and working with experimental setups (e.g. MATLAB) Interest in medical diagnostics and innovation