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Field
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computational research in accelerator science and technology. The focus is on developing and applying machine learning (ML) methods for accelerator operations and beam-dynamics optimization in advanced
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., model-based, optimal, learning-augmented control), perception, and planning modules; run structured experiments and benchmarking. Architect high-quality research codebases in C++/Python/C# (e.g., ROS/ROS
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-level decision-making, it does not address the strategic optimization of fleet-wide renewal plans under uncertainty—a critical need for organizations aiming to decarbonize cost-effectively and in
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engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country France Application Deadline 29 Oct 2025 - 20:00 (Europe/Paris) Type of Contract Temporary Job Status Full-time Hours
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your help! We have several fully-funded open PhD and Post-Doc positions (m/f) A list of concrete potential projects: Development of modern auto-differentiation (JAX-based) physics simulators
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 7 hours ago
. Experience with LPBF and binder jet machines is crucial for this role. PhD in Mechanical Engineering, Materials Science, or a related field Previous experience in material/process development of metal/ceramics
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imaging systems. Activities : Adapt and optimize the SOLANO miniaturized hexapod robot (Symétrie) for high-precision dynamic biomechanical tests. Improve actuation control (speed, smoothness, accuracy
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theoretical foundation. We are looking for a candidate excited by the challenge of rethinking data systems in the face of modern constraints such as optimization under uncertainty, constrained query evaluation
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accelerators. The main objective of the postdoctoral project is the design, optimization, and implementation of compact focusing optics and beam diagnostics tailored to the specific characteristics of electron
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, Oklahoma State University, Virginia Tech, and private farms in Lexington, KY. Required Education and Experience: • PhD in kinesiology, animal science, or related field. Preferred Education and Experience