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York University Abu Dhabi, seeks to recruit a highly motivated post-doctoral candidate in the areas of Artificial Intelligence (AI) for materials science, with an emphasis on structure-property
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-goettingen.de). Your tasks In-depth structural and functional characterization of optimized Channelrhodopsin variants for basic research in neuroscience and future optogenetic therapies Recombinant protein
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, including active learning or Bayesian optimization. Experience with imaging, time-series or high-dimensional data. Exposure to crystallography or structural biology. Experience with multimodal datasets and
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states. In addition, hybridization between electronic states from different layers can significantly change the electronic band structure and lead to new physical phenomena. In this postdoctoral project
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of Energy (DOE) experimental facilities. This role involves research and development spanning areas such as optimization, Fourier analysis, numerical linear algebra, statistics, machine learning, and high
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for automated interpretation of crystallography data for optimal ligand placement. Build and curate training datasets linking electron density maps and structural models. Design and evaluate AI models for 3D
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collaboration with the surface-chemistry postdoc. Responsibilities Fabricate CQD infrared photodetectors using solution-processed thin films. Optimize device structures, transport layers, electrodes, and
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Jerzy Haber Institute of Catalysis and Surface Chemistry, Polish Academy of Sciences | Poland | 25 days ago
techniques Chemistry » Molecular chemistry Chemistry » Organic chemistry Chemistry » Other Chemistry » Physical chemistry Chemistry » Reaction mechanisms and dynamics Chemistry » Structural chemistry
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structural findings with biochemical and genetic data to define mechanism of action. Develop and optimize workflows for sample preparation, grid screening, and high-throughput image acquisition. Collaborate
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, structure-preserving discretisations, optimal transport, and the numerical analysis of partial differential equations. The second position will focus primarily on the geometric representation of complex data