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Field
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. Desirable criteria Experience with training or fine-tuning LLMs or other generative AI models Excellent programming skills and familiarity with modern AI frameworks Downloading a copy of our Job Description
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modeling Qualifications Applicants should have a Ph.D. in mathematics, applied mathematics, computer science, engineering, computational science, physics, or a closely related field by the start date
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robust management of large traffic networks under all conditions. You have the most important role in this ambitious project as one of the young talents in our team. We have 2 PhD and one postdoc positions
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Description We are now looking to appoint a postdoc in Soft Electronics, placed at the Department of Science and Technology, Campus Norrköping Research area The Laboratory of Organic Electronics (LOE, https
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use simulations, models, and analysis frameworks to support detector design, performance characterization, and interpretation of experimental results. Prepare research results for publication in peer
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to lanthanide molecular magnets. While the SFX2C-1e model has been recently used to model core-level spectra, its combination with EOM-CC for molecular magnets has lagged behind. We will link EOM-CC to SFX2C-1e
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to develop novel AI and machine-learning methods for accelerated materials discovery. The focus is on combining generative AI, active learning, first-principles simulations, and machine-learning potentials
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Science, or a related field. In-depth research experience and solid expertise in one or more of the following areas: Advanced Process Control and Optimization Digital Twin and Modeling & Simulation Predictive
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electromagnetic simulation tools, such as CST Studio Suite or Ansys HFSS, and you use them systematically as part of your design workflow. You also have practical skills in numerical modelling and data analysis
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for such complex systems, one needs to advance research in a number of areas within scientific computing, including: visualization, simulation, and modeling. The SCI Institute presents a highly challenging