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biology with advanced nanotechnology, and electrogenetic interfaces to engineer human cells for next generation bioelectronic medicine, designing programmable cells that respond to electrical
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biology with advanced nanotechnology, and electrogenetic interfaces to engineer human cells for next generation bioelectronic medicine, designing programmable cells that respond to electrical
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Applicants should hold a Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. Salary commensurates with educational qualifications and work experience. Strong
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and institutions that interact with them. You should bring: A master’s degree in computer science, machine learning, HCI, or a related field. Strong foundations in machine learning and familiarity with
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, structural biology, genomics, computational biology, synthetic biology, and environmental biology.
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the strategic plan for the launch of MCAS, intially focused on the EPFL Valais Wallis site, including its mission, governance structure, access model, service portfolio, and operating model. Design a financial
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The Binnig and Rohrer Nanotechnology Center (BRNC) at ETH Zurich is a state-of-the-art research facility providing advanced technology, infrastructure, and expertise for nanoscience and nanotechnology. Our operations team manages more than 1,000 m² of semiconductor cleanroom and laboratory space...
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for informing diverse publics. Approaches will include cognitive science and computational social science methods, such as natural language processing and network science, as well as large-scale surveys and
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working as part of team Sound computer skills (MSOffice, SAP) Flair for solution-oriented, unbureaucratic approaches Workplace Workplace We offer Work-Life Balance Flexible working models (such as part-time
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organs Investigate macrophage dynamics and/or serosal repair mechanisms Analyze imaging data using quantitative and computational approaches Perform spectral flow cytometry and standard bioinformatics