22 software-engineering-model-driven-engineering-phd-position Postdoctoral positions at Brookhaven Lab
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for scientific and security applications; (ii) ML model optimization for inference speed and deployment for real-time analysis; and (iii) AI model training for analog in-memory computing. The position provides
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obtaining a PhD, eligible candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or in an R&D position, excluding time
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the department on new potential collaborations. Position Requirements: Required Knowledge, Skills, and Abilities: Ph.D. in computer science or a related field (e.g., engineering, applied mathematics, statistics
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associate position with a focus on national security applications of natural language processing (NLP). This extremely fast-moving and competitive field has produced innovations with highly visible impact in
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, enhanced by machine-learning and data-driven analysis techniques. Additionally, the study will encompass electrically triggered events that mimic the voltage-based signaling of biological synapses
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with leading theorists to explore connections between Lambda polarization in exclusive production and Generalized Parton Distributions (GPDs). This position involves both experimental data analysis and
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investigators. Position Requirements Ph. D. in theoretical or physical chemistry, or a related field Extensive experience in one or more of the following areas: Computational modeling of homogeneous
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and national challenges. Position Description The Electron-Ion Collider (EIC) project is seeking an accelerator physicist at the postdoc level to join the accelerator design team. Core duties are
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of relevant work experience as a post-doc and/or in an R&D position, excluding time associated with family planning, military service, illness or other life-changing events. Candidates must havereceived a PhD
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radiation on both living and non-living systems. Position Description A postdoctoral position is available immediately at BNL Biology Department under the supervision of Dr. Nak Hyun Kim. This project is a