16 low-rank-approximation Postdoctoral research jobs at Brookhaven Lab in United States
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physics. Participation in detector research and development, especially for low-latency event selection in trigger systems. Development of new artificial-intelligence and machine-learning techniques
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electron microscopy A proven ability to perform transport property characterizations at high pressure, low temperature and high magnetic field Ability to interact effectively with a diverse group of
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, Beyond the Standard Model phenomenology, precision calculations for the LHC and intensity frontier, overlaps of particle physics and cosmology, and lattice gauge theory. The lattice efforts span weak
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) to rapidly generate excited or charged states for study by transient absorption in the UV/Vis, IR and microwave regions. These studies will give information about kinetics and thermodynamics of electron
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eA event generators and detector simulations are envisioned. Finally, she/he will be expected to join some of the group efforts in hardware building projects as well as future R&Ds. Close interaction
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candidate (e.g., details from JAF) Other Information: Some travel required BNL policy requires that after obtaining a PhD, eligible candidates for research associate appointments may not exceed a combined
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Brookhaven National Laboratory is committed to providing fair, equitable and competitive compensation. The full salary range for this position is $71500 - $81500 / year. Salary offers will be commensurate with
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-relativistic spin-splitting of the electronic band structure due to their magnetic order (including the collinear altermagnets). Our goal is to provide a test of theoretical predictions in a selection of real
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Foreign Government Talent Recruitment Programs, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation at the time of hire
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computer science knowledge. Preferred Knowledge, Skills, and Abilities: Practical experience developing novel AI/ML algorithms and models. Knowledge about hardware architectures, compilers, neural network