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have a master’s degree in atmospheric and/or climate sciences, geochemistry, environmental chemistry, physics, computational sciences or a closely related discipline with a strong interest in numerical
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prognostic markers in histological images through neuronal networks. Job description The successful candidate will play a central role in generating and analyzing spatial transcriptomics and image datasets
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on the development of materials to close the CO2 cycle and ultimately allow societies to approach net zero emissions. The current PhD position is funded by the national centre of competence in research (NCCR Catalysis
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be devoted to supporting the lab in teaching and managing resources. Profile We are looking for outstanding candidates with the ambition to make revolutionary scientific and technological contributions
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of a process to track the success and impact of the two initiatives, and regular evaluation by ETH researchers as well as external stakeholders Manages a central pool of space experts (project managers
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Portfolio Projects. We are an in-foundation startup, building upon a multi-year research and development program focused on a novel class of surgical materials. With a strong foundation in translational
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learning-based generative models and physics simulation) and data inference (including segmentation, classification, parameter inference and mesh fitting) based on data-driven and (bio)physics-informed
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Competitive salary for postdoc positions Excellent working conditions A chance to work in a stimulating environment as part of a multi-cultural research team Exposure to both academia and the industry world
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theories of urban, political, and social change. This position can be an excellent stepping stone, whether you aim to pursue a PhD after your master’s degree or build a career outside academia. Workplace
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, at the phonetic, lexical and syntactic levels. The candidates will develop theoretical models of network of single neurons, using dynamical systems theory and simulations. The models will be fit to single-cell