764 machine-learning-"https:"-"https:"-"https:" Postdoctoral positions in United States
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research and development spanning areas such as optimization, Fourier analysis, numerical linear algebra, statistics, machine learning, and high-performance computing for one or more of the following: (1
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Research Associate to develop, scale, and apply artificial intelligence (AI) and deep learning (DL) models for power grid systems. The successful candidate will contribute to scalable AI workflows for grid
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Center for Biologics Evaluation and Research (CBER) | Southern Md Facility, Maryland | United States | 3 months ago
with advanced machine learning approaches. The research will involve assay development, metagenomic (mNGS) sequencing, and bioinformatics analysis to advance regulatory science and enhance the safety
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that influence the development, intensification, and persistence of extreme events, using observational datasets, machine learning, and Earth system modeling. The successful candidate will work with observational
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, national origin, ethnicity, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation, or military status. Duke University aspires to create a community built on
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hours in office and computer work. Physical Activities Working Conditions Additional Information Hybrid remote work environment available and a UT Dallas Remote Work Agreement is required upon employment
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qubits and next-generation quantum sensors. AI Integration: Collaborating with AI experts to integrate machine learning and autonomous agents into the crystal growth and device development workflow
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on the integration of clinical, textual, imaging, and other heterogeneous data modalities to advance AI methodologies in translational research. Design, implement, and rigorously evaluate novel machine learning and AI
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with in vivo electrophysiology and/or calcium imaging data collection and analysis. Experience with machine learning–based behavioral quantification (e.g., DeepLabCut, MoSeq). Experience with MATLAB
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computer vision models and web-based decision support tools, to enhance efficiency and decision-making in swine production. Required Minimum Qualifications: • Ph.D. in Animal Science, Swine Nutrition