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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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physics. Development of new artificial-intelligence and machine-learning techniques for high-energy and nuclear physics. Close interaction with our collaborators in the EIC and the BNL theory group will be
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high intellectual merit and the willingness to use machine learning and/or AI techniques. Essential Duties and Responsibilities: Successful candidates are expected to develop an impactful research
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collaboration with theorists, machine learning experts, and other experimentalists. Essential Duties and Responsibilities: Single crystal growth of quantum materials Performing transport and electron microscopy
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papers and presenting work at seminars and conferences. Required Knowledge, Skills, and Abilities: PhD in physical chemistry, or a related field. Preferred Knowledge, Skills, and Abilities: Experience in
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). Manuscript preparation and presentation of results at national and international meetings. Required Knowledge, Skills, and Abilities: PhD in Chemistry, or a related field. Preferred Knowledge, Skills, and
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seminars and colloquia Participate in conferences and workshops, regular group meetings, and assist with notetaking Required Knowledge, Skills, and Abilities: PhD degree in meteorology, atmospheric sciences
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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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. Travel will be required for experiments at national user facilities, such as the Spallation Neutron Source at Oak Ridge National Laboratory. BNL policy requires that after obtaining a PhD, eligible
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Knowledge, Skills, and Abilities: PhD in Chemistry, Physics, Biophysics, Biology, Biochemistry or Structural Biology. Proven ability to optimize peptide, protein or nucleic acid crystallization systems. Basic