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Field
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The successful candidate should possess the following: • A PhD in Materials Science, Chemical Engineering, Chemistry, Physics, or related fields • Highly motivated, committed, and capable
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research fellow to support ongoing research projects in diffusion generative models and Monte Carlo stochastic simulation methods. This position holder will apply these techniques and other advanced AI
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streams with perturbation signatures and fit these. For these fits, we will explore the speed up from using GPUs as well as machine learning techniques, e.g. simulation-based inference. Finally, we will use
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10th August 2026 Languages English English Norsk Nynorsk English PhD Research Fellow in quantum physics and optimisation Apply for this job See advertisement UiB - Knowledge that shapes society UiB
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system integration, teleoperation-based data collection, simulation-based synthetic data generation using NVIDIA Isaac Sim, and learning-based policy development for manipulation and locomotion tasks
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Investigate materials (electrode substrate, membrane and catalysts) Synthesis and interpretation of data Simple process simulation and modelling General lab organization and coordination Assist supervising PhD
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combined with first principles and multiscale simulation for the design of molecules, catalysts and materials, with applications in clean energy and decarbonisation AI for clinical and health research using
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a summary of the applicant's PhD research and career goals and outlines how an Erb Institute post-doctoral fellowship will advance their sustainability research career. Current doctoral candidates
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supporting documentation, are eligible to apply for this scholarship: A PhD in Medicine or Biomedicine obtained within the three years prior to the date of submission of the scholarship application
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modelling and advanced cooling at high temperature of SiC devices. (6) Simulation model of new SiC devices (7) Loss modelling and analysis (8) EMI filter design (9) Gate driver design (high frequency and WBG