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thin film deposition is strongly recommended. Knowledge in solid-state chemistry, ceramics, nanoimprint lithography processing, (photo)electrochemistry, or optical simulation (RCWA and FDTD for light
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diverse metabolic processes such as cofactor biosynthesis, peptide modification, post-translational modifications, and antibiotic biosynthesis. They operate via a radical-based mechanism that uses a 4Fe–4S
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multimodal data analysis. Experience on image processing via machine learning. Programming skills (e.g., Python) are required. Ability to communicate effectively in both spoken and written English. Merits
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electromagnetic (EM) theory/modeling, at the Electrical and Computer Engineering Department, and in collaboration with the Applied Mathematics Department, Santa Clara University. This is an in-person position
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/or process simulation. Strong background in microscopy and imaging. Demonstrated ability to prepare scientific manuscripts and presentations. Ability to work independently and collaboratively across
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R&D Projects, by the Code of Administrative Procedure (CPA), all in their current wording, and by other applicable national and community legislation. Procedure Reference: IT137-25-498 I - Legal
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chains, random graphs and trees, random matrix theory, stochastic and Lévy processes in infinite-dimensional spaces, free probability, random sphere packings in high dimensions. About the role You will
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Constrained experimental design Combining models and combining data / Realistic simulation of clinical trials Developing LLMs to utilise ODEs and ProbML as tools, Code synthesis for causality Generalisability
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or equivalent Skills/Qualifications We are looking for enthusiastic candidates with: Ph.D. in physics, chemistry, applied mathematics, or related fields, strong background in molecular simulations and HPC, good
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inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities. We ask all candidates to submit a copy of their CV, and a