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this new hybrid network. Your code will directly enable the next generation of energy-efficient AI clusters. Project scope You will bridge the gap between custom optical hardware and standard AI software
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constrains metabolic network architecture despite substantial taxonomic turnover in anaerobic digestion communities, providing a mechanistic explanation for convergent ecosystem functions across similar
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by connectome-constrained artificial neural networks. Candidates from outside the field of neuroscience are encouraged to apply, but must be curious, persistent, and passionate to delve
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/or patents. Your assignments Elucidating signal transduction involving GPCR, cytokine-, immunoglobulin downstream signaling involved in an inflammatory and metabolic network. Functional immune cell
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. The precise research topic(s) will be discussed with the successful candidate depending on their background, expertise and affinities. Analysis and publication of results Build a strong network in the field
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combining experimental biology and computational genomics. Main duties and responsibilities Working and collaborating on research projects Analysis and publication of results Build a strong network in the
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community Competitive renumeration International collaboration and visiting opportunities through an excellent network of collaborations with industrial stakeholders and leading international universities
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active network of world-class international collaborations, including: The Institute of Cancer Research (ICR), London, UK — a global leader in cancer genomics and therapy The Paul Scherrer Institute (PSI
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to expand your network and gain valuable experience in academic leadership and project development Working, teaching and research at ETH Zurich We value diversity and sustainabilityIn line with our values
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information science, broadly defined. Experience in topological materials/ topological quantum computation/ quantum geometry/ exposure to tensor network methods or and/or AI/LLM for physics would be a positive addition