110 formal-method-phd positions at ETH Zurich

  • ETH Zurich | Switzerland | 3 months ago

    should conduct their own high-quality research linked to the research of the group. In addition, the candidate will be responsible for mentoring 1-2 PhDs and supporting ongoing and future research projects

  • ETH Zurich | Switzerland | about 2 months ago

    100%, Zurich, fixed-term The CMR group at the Institute for Biomedical Engineering develops Magnetic Resonance (MR) technology and methods to assess the cardiovascular system. We devise the next

  • ETH Zurich | Switzerland | 2 months ago

    environment Typical PhD duration: 3 to 3.5 years with guaranteed funding throughout Competitive salary and excellent working conditions by ETH Zürich standards Access to state-of-the-art infrastructure and

  • ETH Zurich | Switzerland | 14 days ago

    technologies. In addition, you have: A PhD in synthetic biology, bioengineering, biotechnology or a related field A proven track and publication record in academia or industry Experience with mammalian cell

  • ETH Zurich | Switzerland | 2 months ago

    university. Experience working with scientific data, demonstrating a methodical approach. Basic Python programming/scripting skills for data manipulation and automation. Meticulous attention to detail

  • ETH Zurich | Switzerland | 2 months ago

    level of scientific independence and will gain relevant experience to apply for independent group leader positions. In particular, you can co-supervise Master or PhD students and participate in teaching

  • ETH Zurich | Switzerland | 3 months ago

    earthquakes nucleation, geothermal reservoir building and heat exchanges. The laboratory is also key to creating state-of-the-art methods and sensors for geothermal energy exploitation and earthquake physics

  • ETH Zurich | Switzerland | 3 months ago

    applications for a PhD position in multimodal artificial intelligence. We are looking for an exceptional candidate to join our dynamic research team in developing next-generation AI solutions that combine visual

  • ETH Zurich | Switzerland | about 2 months ago

    model uncertainty. Develop and implement methods to utilize predicted natural recovery to effectively isolate, analyze, and quantify treatment-induced improvements in SCI patients. Develop an exploratory

  • ETH Zurich | Switzerland | about 2 months ago

    background Are you ready to dive into Materials Science? We are looking for a PhD candidate at the Laboratory of Metal Physics and Technology (LMPT) to explore the relationship between the nanoscale

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