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passionate about linking atomistic processes to device performance through computer simulations? Are you fascinated by designing next-generation semiconductors with quantum-mechanical methods enhanced by AI
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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
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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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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description As part of the FEDER DREAM project, a research focus on dentistry and oral surgery led
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system model simulations (e.g., isotope-enabled CESM1.2 and MPI-ESM1.2) and run new simulations, including tagged-water experiments to track changes in moisture sourcing under different climate conditions
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of planetary systems. The successful candidate will contribute to experimental studies simulating interstellar ice environments under controlled laboratory conditions, using advanced radiation sources including
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Postdoctoral Appointee - Investigation of Electrocatalytic Interfaces with Advanced X-ray Microscopy
part of the DOE–BES initiative Integrated Scientific Agentic AI for Catalysis (ISAAC) , a multi-facility collaboration integrating experimental modalities and simulations to enable an orchestrating
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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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: formulate the design space (categorical + continuous variables), craft domain-aware operators, and couple simulation results back into the search loop. The broader goal is to deliver a reproducible, scalable
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simulation codes, including computational scaling and efficiency, for hybrid exascale supercomputing systems. Programming model for multicore and heterogeneous architectures such as graphical processing units