30 evolution "https:" "https:" "https:" "https:" "https:" "https:" uni jobs in Switzerland
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development. • Familiarity with machine learning, dimensionality reduction, clustering, and statistical modeling. • Strong communication skills, interest in interdisciplinary work, and ability to train students
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to their own samples. Contribute to development of facility infrastructure for long-term whole-tissue profiling. PhD in neuroscience, bioengineering, biophysics, molecular biology, or related discipline
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mechanistic drug profiling and informs model selection across cancer research and drug discovery. In line with our and Uni Basel values ( https://www.unibas.ch/en/Research/Values-Ethics/Diversity.html ), we
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development and adaptation for automated environments Ability to communicate effectively with researchers from different scientific backgrounds Previous experience as a laboratory automation application
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changes In contrast, the use of SAR for identifying and characterizing crevasses has seen limited research, necessitating the development of new methods The approach will involve utilizing high-resolution
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Management) and the team that focuses (1) on the acquisition, processing, and interpretation of satellite and drone data, as well as (2) on the development of operational applications for emerging intelligent
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: ETH Zurich supports your professional development and enables you to make a contribution to responsible innovation and societal well-being. A commitment to diversity: We welcome and encourage
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candidates with an outstanding research record in deep learning, in particular in one or several of the following areas: modeling and architecture development, domain adaptation & continual learning, agentic
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approximately 600 people, of whom 10 are based in Cadenazzo. The Insubric Ecosystems research group is based in Cadenazzo, Ticino, where it investigates the evolution of forest ecosystems and future trends in
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and Kähler geometry, differential topology, geometric evolutions, geometric PDEs, and applications of differential geometry to physics. Candidates should hold a PhD and have an outstanding record