598 evolution-"https:"-"https:"-"https:"-"Univ" Postdoctoral positions in United States
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projects relevant to catalysis and critical materials. Contribute to methods development and integrate data science to accelerate simulations, analyze large datasets, and extract properties. Work in multi
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Computing (HPC) system architecture and intelligent storage design. The candidate will contribute to research and development efforts in scalable storage and memory architectures, telemetry-driven system
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supercomputing resources. The candidate will also contribute to the development of large-scale identity and key management solutions. We are a leader in computational and computer science, with signature strengths
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development, molecular techniques, cancer models). Excellent communication, problem-solving, and organizational skills Strong publication record and hands-on experience with mouse models and preclinical
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, advanced computational techniques, and data science. The project involves: Materials Development Platform that will enable redox molecule optimization via predictive simulations, database management, and AI
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coordinate the analysis of research findings, preparing detailed summaries for submission to the sponsoring agencies. The postdoc is responsible for the development of research designs and procedures
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applying machine learning or other elements of artificial intelligence to solving significant scientific or engineering problems Interest in software development, with particular emphasis on the Python
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opportunities from collaborating experts in psychology and psychiatry at the University of Washington. The Postdoctoral Scholar will be supported in their career development and submission of grant applications
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/Responsibilities: Depending on background and interest, responsibilities may include: Neuromorphic & ML Algorithm Development: Development and training of Spiking Neural Networks (SNNs) for clustering
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languages such as R, Python, Matlab. Familiarity with software development best practices (e.g., unit testing, version control). Familiarity with inferential statistics and machine learning. Expertise in