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Field
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Health Services and Data Science (Project: Development of Natural Language Processing and Item response Theory based systems for Patient Reported Outcomes Measurement) Optimizing the performance of health
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fully funded postdoctoral position with two years of guaranteed funding. The project is part of a larger interdisciplinary research program called Pathogen Response Optimization by GENeratIng ThErapeutics
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and provide feedback for optimization of therapeutic delivery. These research programs involve both in vitro and in vivo animal studies. The postdoctoral fellow will collaborate with basic scientists
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system performance in physiologically relevant settings. Explore and implement AI/ML tools for system optimization, data-driven control, or high-throughput analysis. Contribute to publications, IP filings
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reliability. The research will be conducted within the STRENGTHENS (Studies to Refine and Enhance Next Generation Therapies to Prevent Suicide) Group. STRENGTHENS focuses on developing, testing, and optimizing
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with the provisions of Decree-Law no. 66/2018 of 16th August, and all formalities established therein must be complied with at the signature of Fellowship contract. Working plan: Optimization
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 10 days ago
to develop and apply data-mining tools Reviewing, extracting, and harmonizing data from literature Constructing and enhancing training databases for modeling purposes Learning to develop, validate and optimize
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that are relevant to industry demands while working on research projects in SIT. Job Details This Research Fellow will contribute to the UrEco 2030+ project: “Optimizing Urban Ecosystem Services Model for Urban
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optimization Signal processing and general communications background Programming skills in MATLAB and/or PythonGood writing and oral presentation skills, in English Eligibility requirements of MSCA: Research
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 1 month ago
optimized design approaches. Run high-fidelity micromechanical simulations (finite element) to obtain the homogenised properties of a composite (ply-level) Use Convolutional Neural Networks (CNNs) to obtain