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of machine learning, AI, and cancer genomics. Our lab develops novel machine learning methods to understand biological systems and cancer, with a strong focus on genomics and translational impact. We work in
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together to develop solutions for the global challenges of today and tomorrow.
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: Identify opportunities for outreach, visibility, and knowledge transfer; develop and implement the NCCR communication strategy Content Creation: Identification and promotion of scientific highlights and
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, and remodel mechanical signals, and how these processes govern fundamental biological functions such as homeostasis, growth, differentiation, migration, development, and apoptosis. Despite major
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printing, and related techniques), and to develop systematic parameter studies that enable robust and repeatable sensing layers. Job description Systematic investigation of deposition process parameters and
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-fabrication workflows. Specifically, the work will develop within those research streams: developing tools and workflows to efficiently assess discarded materials creating a digital inventory of reclaimed
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that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions
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model’s behavior in a desirable way; and (3) verify that the intervention also has benefits for human learning The postdoctoral candidate is expected to develop their personal research agenda within and
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, biocompatibility or the ability to reach deep brain areas. To solve this problem, we developed Ultra-Flexible Tentacle Electrodes (UFTEs), consisting of fibers one order of magnitude smaller than hair (2.4 um x 7 um
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grid components (e.g., transformers, switchgear, control systems). Second, building on firm-level product classification methods developed at KOF, we infer firms’ product portfolios from website content