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circuits, neuronal tracing, viral or genetic manipulation of neurons, in vivo models, imaging, or computational analysis of single-cell or spatial datasets. Candidates from neuroscience and neuro-immunology
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researcher. The project aims to develop foundation models that can learn from heterogeneous tabular data across buildings and district-scale energy systems and transfer across systems, operating conditions
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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoctoral Researcher Mission Despite recent technological advances both in the data management
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two novel small molecules and/or polymers that you have synthesized and characterized (3 pages maximum) Names and contact information of at least 2 references willing to write recommendation letters
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information, including protein–ligand interaction features, into generative AI workflows. Developing computational workflows for closed-loop DMTA cycles in which experimental affinity, selectivity, and
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and analysis methods for realistic CO2 electrocatalysis, with a focus on parallel investigations and accelerated aging. Dissect degradation processes of CO2 electroreduction catalyst, electrodes, and
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expertise in computational toxicology, data science, artificial intelligence and data governance. Ideally, the candidate has experience in applied science or a keen interest in applying their experience
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familiar with contemporary construction techniques and have an interest in 20th-century construction techniques or vernacular architecture. Experience in Life Cycle Assessment (LCA), Building Information
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well as to develop new therapies for vision loss. For more information, please visit iob.ch .
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both the School of Computer and Communication Sciences and the School of Life Sciences, as well as the EPFL AI Center. We are recruiting a postdoctoral researcher with strong expertise in modern AI, in