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: Bachelor degree in physics or electronic engineering, Be enrolled in a Master degree in physics Basic knowledge of magnetic sensors (simulation, microfabrication or testing). Basic experience in circuit
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Vilnius Academy of Arts (VAA) invites applications
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) in applied mathematics or in computational engineering science, computer science, simulation science with a strong background in applied mathematics Excellent programming skills (Python, C/C++) Good
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, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular geometries. Current simulation-based approaches require complex 3D meshes and are often too slow
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Experienced in A.I., Deep Learning, and Simulations. Physical Requirements & Working Conditions Degree Requirement Listed degree qualification is required at time of application Posting Information FLSA Status
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Engineering, Physics, rezekboh@fel.cvut.cz https://scholar.google.cz/citations?user=mb1IXcUAAAAJ 10.1088/2515-7655/add59f 10.1039/D3NA00205E 10.1016/j.solmat.2022.111984 ORCID 0000-0002-0378-4598 H-index (WOS
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8 Jan 2026 Job Information Organisation/Company Centro de Computação Grafica Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Bachelor
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analysis Your Profile: Masters degree in electrical/electronic engineering, computer engineering, computer science, physics, or related fields Coursework in algorithms, computational complexity theory, and
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to develop complement/augment classical CFD methods with quantum algorithms/techniques. The work lies at the intersection of multiphase flow physics, numerical modeling, and quantum computing. Who we
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numerical models to improve the simulation of complex multiphase phenomena. The study will combine theory, algorithm development, and computational modeling, with the goal of advancing scalable hybrid