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: Familiarity with architectural simulators (e.g., Gem5, SST) or HDLs. Quantum / Analog Computing: Exposure to quantum programming models (e.g., QIR, Q#, Qiskit, Cirq) or analog/neuromorphic systems; interest in
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computational plasma physics, including expertise in radiation transport theory in nuclear fusion processes, plasma magnetohydrodynamics (MHD), gyrokinetic or fully kinetic simulations, and/or particle-in-cell
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to contribute to cutting-edge research investigating the physiological and psychological impacts of spaceflight. Our program focuses on human analog studies to simulate microgravity and explore
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simulations of the proposed functionalities, including the waveguide ability to detect the presence of analytes. These sensing capabilities will be explored through both optical absorption mechanisms and phase
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description Next leap in the battery
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work. Experience in mechatronics and system integration, as well as modelling and simulation of robotic, automation, or production systems. Experience in teaching within relevant technical fields
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, and hydrodynamic bearings Conducting computational fluid dynamics (CFD) and fluid-structure interaction (FSI) simulations to evaluate pump hydraulic performance, blood damage (hemolysis, vWF, platelets
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with quantum gates, algorithms, and measurement-based photonic quantum computing. • Familiarity with quantum optics simulation frameworks (QuTiP, Strawberry Fields, etc.). • Track record of mentoring
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specific to a single model or setting. Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a related field. You will have a Strong background in machine
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Engineering, Civil Engineering, Computer Science, Data Science, Applied Mathematics, or a closely related quantitative field. You love physics and complex systems and are either familiar with, or very eager