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with intelligent, data-driven emergency planning, aiming to develop robust tools for communities and authorities to prevent and mitigate the impact of natural disasters such as wildfires. Working closely
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Institutional commitment to a good work-life balance Classification according to the collective agreement of the federal states (TV-L) up to E13 (including special annual payment) ZALF promotes equality among all
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. With the collective expertise of all partners, MATCH stands as a unique consortium, poised to train a cohort of DCs with comprehensive and sound knowledge on MCF technology in Europe. Training of DCs
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machine learning (ML), artificial intelligence (AI) or related fields • Software skills in ML languages such as Python • Ability and enthusiasm to learn new technologies quickly • Ability to work highly
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Institutional commitment to a good work-life balanceClassification according to the collective agreement of the federal states (TV-L) up to E13 (including special annual payment)ZALF promotes equality among all
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(or equivalent) in Computer Science, Artificial Intelligence, Engineering or a closely related field; Solid background in machine learning and/or evolutionary optimisation; strong programming skills (Python/C
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with other nanomedicine researchers in GRIP and other Dutch Universities (https://www.rug.nl/research/grip/news/news/nwa-orc ). NanoMedNL aims to unite and involve all nanomedicine stakeholders (researchers
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significantly slows down the development of new desirable nanostructures. In this project, we will combine numerical models, experiments, and artificial intelligence (AI) to guide the design of specific DNA
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This PhD opportunity at Cranfield University explores how next-generation AI models can be embedded within resource-constrained electronic systems to enable intelligent, real-time performance
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Job Type/Hours per Week Full Time Hiring Department Biomedical Research – Section 7 Location UT Tyler Health Science Center Required Application Materials A single PDF or Word document containing a