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of precursor transport, heat distribution, the nucleation, and growth of thin films in atomic layer deposition (ALD) reactors. The range of simulations focuses on finite element methods and can include Monte
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Design and microfabrication of soft optical fibers densely distributed with actuators Develop actuator multiplexing methods for individual addressability Demonstration for advanced robotic functions as
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/ exposure to tensor network methods or and/or AI/LLM for physics would be a positive addition. For this postdoctoral position, we intend to focus on topological two-dimensional materials, flat bands, and
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analysis methods for realistic CO2 electrocatalysis, with a focus on parallel investigations and accelerated aging. Dissect degradation processes of CO2 electroreduction catalyst, electrodes, and ionomer
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for software-based analysis and ev. R-programming is welcome. We welcome applicants who are detail-oriented, enthusiastic about innovative research, and enjoy working in a collaborative environment. Lead and
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comparing supervised and unsupervised methods (e.g., regularized regression, tree-based models, ensemble methods, clustering, dimensionality reduction) and deep learning approaches Developing and applying
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(ALD) reactors. The range of simulations focuses on finite element methods and can include Monte Carlo based simulation approaches and continuum modelling. Verification of simulation results against
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responsible for the project collaboration and administration within their field, scientific publications, as well as collaboration with academic and industrial partners. Your profile PhD in relevant field
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. Where to apply E-mail lorraine.dubuis@unige.ch Requirements Research FieldPsychological sciencesEducation LevelPhD or equivalent Skills/Qualifications Desired profile: PhD in psychology, neuroscience
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bioinformatics are furthermore advantageous. As a postdoctoral researcher, you will also assist PhD students, e.g., with the structural elucidation of proteins.