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research. Your primary research project will focus on MEMS-based sensors, circuitry design and fabrication, and data analysis, but you will have some latitude to study a variety of scientific topics chosen
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, the Postdoctoral Associate promotes institutional recognition through literal contributions to the scientific community. CORE JOB FUNCTIONS 1. Conducts research on specific areas of study as assigned. 2. Prepares
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Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS) | Leipzig, Sachsen | Germany | 3 months ago
recognition memory. A major goal is to develop and test computational models of perirhinal cortex function that can reconcile its diverse roles across memory, perception, and semantic cognition within a unified
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degree obtained abroad must, by the end of the application period, provide proof of recognition or evidence that it has been requested, as per Decree-Law No. 66/2018 of August 16. Failure to present degree
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institutional recognition through literal contributions to the scientific The Post Doctoral Associate performs scientific research and studies under the supervision of managing staff. Moreover, the Post Doctoral
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to support MK-MDT faculty programs of research by assisting with grant writing, research design, data collection, data analysis and dissemination. Candidates with interests in health equity, capacity building
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. Fernanda Dias Limit: One-year offer only Duties and Responsibilities: Design, implementation, and evaluation of experiments related to flavor chemistry, lipid extraction and characterization under the PI’s
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Member State, was issued in another country and recognized on the basis of the regulations on the recognition of academic degrees obtained abroad (learn more about the procedure for the recognition
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Rearing & Bioconversion Trials Design, execute, and manage controlled BSFL rearing experiments using Sargassum-based substrate blends at UM's Experimental BSFL System. Implement and evaluate arsenic
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, collaborative research team. Preferred: · Experience with modern NLP and LLM techniques, including transformer models, prompting strategies, named entity recognition, relation extraction, or information