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Position Description Post-doc position (1,5 years) at University of Dubrovnik, within Conduction (Optimal control and model reduction for evolution and data driven problems) project and aligned
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AI models into the BMS. Optimize AI/ML pipelines for resource-constrained environments, including edge AI applications. Guide PhD students and collaborate with engineers to implement advanced ideas
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to work well with minimal supervision and with PhD students and external collaborators. Experience related to performance analysis and optimization, GPU architecture, and code generation are highly
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breakthroughs in NV sensor synthesis and host diamond heterointegration. The successful candidate will operate at the interface of these programs, playing a central role in developing and optimizing next
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high-throughput datasets); • PhD in Bioinformatics, Computational Biology, or a related field; • Strong experience in bioinformatics and analysis of next-generation sequencing data; • Proficiency in
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
autonomy to work in close collaboration with a hardware engineer and clinical partners are all valued. A PhD in mechanical engineering, with expertise in shape/topology and system-level design optimization
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of the produced powders and films: SEM/EDS, TEM, XRD, ICP-OES, EBSD, etc. Correlate material morphology and composition with final TE material and device performance. Develop TE devices optimized for both energy
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Hematopoiesis (www.lianglab.info ) Researcher career profiles (R1-R4): R2 Field of science: life science Type of recruitment: full time Requirements: The candidate shall possess a PhD degree in life science
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optimization of large language models (LLMs) and related architectures for generative tasks, continuous learning, indexing or retrieval, support of retrieval augmented generation over many data points from long
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for more details https://www.pepr-diadem.fr/projet/ai-mahc-2/ ). The Postdoc will work in tandem with a PhD student and will benefit from the PEPR DIADEM infrastructure, including advanced platforms, as