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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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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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optimization and LLM alignment: design preference-based training and fine-tuning methods (RLHF, PPO, DPO, reward modeling) for medical and multilingual LLMs. Agentic and tool-augmented AI systems: develop
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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.
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of scientific results through publications and on conferences. Your profile PhD degree in materials science, physics or chemistry. Deep knowledge in X-ray diffraction and scattering methods. Additional knowledge
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processes, particularly in complex or technically challenging settings. To address these questions, the lab develops and applies new methods for metabolomics, lipidomics, and ¹³C metabolic flux analysis, as
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methods, which could include but are not limited to: Kriging surrogate, Polynomial Chaos Expansion (PCE), and Physics-Informed Neural Networks (PINNs) Contribute to the strategic direction of research