75 computational-physics-"https:"-"https:"-"https:"-"UCL" PhD positions in United States
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of particle acceleration and the Sun's interaction with the local interstellar medium. See https://spacephysics.princeton.edu/ for more information about the Space Physics Group at Princeton University
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A1096 Working Title PhD - Research Assistant - Computer Science Location Edinburg, Texas College College of Engineering and Computer Science Department College of Engineering and Computer
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initially be for one year, renewable for additional years following performance review and funding availability. Basic Qualifications Ph.D. in computer science, applied physics, applied math, or a related
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assigned. Requirements: Matriculation in a Villanova graduate program. Additional Information: Physical Demands Summary: Wage Rate: FT Stipend= (19) Bi-weekly pays at $1473.00/Total= $27,987.00/Fall & Spring
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, wearable sensor data, and behavioral measures. · Collect, process, and analyze multimodal datasets, including neural, physiological, and motion-tracking signals. · Develop and refine research protocols and
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experiment at CERN. This position is based at the CERN site. The successful candidate will have a Ph.D. in physics, a strong computational background, and exceptional experience with simulation infrastructures
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, towards future colliders. Cutting-edge machine learning developments for classical and quantum computational platforms are pursued in the group to benefit particle physics and beyond. Experience Candidates
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. The investigator collaborates with interdisciplinary clinical teams to integrate these computational tools directly into hospital workflows. Routine duties include algorithm optimization and the evaluation of model
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the context of critical illness. This position focuses on computational modeling of host-response mechanisms using high-dimensional multi-omics datasets. The fellow develops novel computational pipelines
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involved in analyzing data collected from the TexNet seismological monitoring program and other stations or assets that provide quality data. Comparing different methods and tools for moment tensor inversion