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at the University of California, Merced is seeking a postdoctoral scholar to work on an NIH-funded project (Project Number: R35GM163973) focused on biomolecular simulations and machine learning applications in
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Jerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of Sciences | Poland | 26 days ago
the remuneration is paid, they will be receiving no pension under the social security scheme. Specific Requirements The candidate's application should include: employment application copy of the diploma conferring
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modeling—integrating first-principles simulations with machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model
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modeling—integrating first-principles simulations with machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model
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Experience with cardiovascular research Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document
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, solid state transformer, DC/DC converters, inverters, etc. Experience in modeling and stability analysis Experience in hardware development or real-time simulation. Awareness of diversity and equal
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simulation of catalytic processes, preferably using Aspen Plus or related process simulation tools. Strong quantitative, data analysis, and scientific writing skills. The ability to work independently, take
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radiation and using Monte Carlo simulation software (MCNP, GEANT4). Knowledge of multi-element analytical techniques (PIXE, XRF, ICP-MS). Valorization of Industrial Waste: Experience in developing processes
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computational chemistry techniques, including molecular dynamics, quantum mechanical simulations, and machine learning. Proficiency in programming languages and computational software’s. Strong motivation and
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, and goal-oriented working style with a strong commitment to solving complex technical challenges Practical experience with fiber optics, vacuum technology, cryogenics, finite-element simulations (FEM