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established in the areas of electronic and electromagnetic simulation and design, machine learning and artificial intelligence in electrical engineering, electrical low-frequency and high-frequency measurement
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towards potential industrial transfers (self-calibrating instruments for polarization control), and an activity on theory (simulations of cavity-QED devices), which both represent assets for the present
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of machine learning potentials for the simulation of nucleic acids, developed by the group of Prof. Rafał Szabla. The funding eligibility criteria limit the maximum experience after obtaining the first PhD
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modeling and simulation to complement physical experiments Preferred) Proficiency in CAD and modeling tools such as SolidWorks for experimental design and apparatus development Additional background in areas
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aligned with project goals. ● Analyze and evaluate experimental and simulation data using advanced and specialized techniques. ● Prepare manuscripts and technical reports for publication, present
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, Copy of diploma for the completed relevant postgraduate university (doctoral) study (or a decision on the recognition of a foreign educational qualification for candidates who obtained
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, visit https://www.biocean5d.org/ . The applicants will work on close collaboration with Jose M. Montoya, from CNRS. - Developing analytical theory and/or simulation models on the relative importance
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to apply. We seek candidates with expertise in some or all the following areas: density functional theory, deep learning, high-throughput simulations, molecular dynamics, and materials chemistry. Strong
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simulations including mechanical engineering. As time permits, you will be encouraged to conduct your own independent research. Outstanding U of A benefits include health, dental, vision, and life insurance
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correction, or many-body quantum systems. o Proficiency in numerical simulations (e.g., tensor networks, quantum circuit modeling). · For Experimentalists: o PhD in atomic/molecular/optical (AMO) physics