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internationally distinguished scientific track record in a core area of ETH Zurich. As an experienced leader in an academic or research organisation, you can shape and lead the strategic development of ETH Zurich
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are especially affected by these changes as they are warming faster than the global average. Most plant species in these regions are therefore shifting their distributions to track the climatic conditions they
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to optimally combine work and family life or other personal interests, we are able to support you with our modern employment conditions and the on-site infrastructure. This is a Tenure Track position. The
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the Swiss Federal Railways via the ETH Mobility Initiative, will assess the ability to improve processes for rail system development to unleash efficiency gains, with specific examples for the cargo sector
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. Profile Education: Master’s or PhD in Computer Science, Data Science, Software Engineering, or a related field. Experience: Proven track record in data engineering, software development, and integration
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) environments, or Software Engineering. You are expected to have a Ph.D. degree in Mechanical Engineering, Computer Science, Applied Mathematics, Robotics, or related fields with an excellent track record in
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The Geneva Graduate Institute seeks to hire an innovative scholar with an outstanding track record whose research focuses on Gender and International Relations, with a sensitivity to the
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an excellent track record in archival journal publications, Computer Science or Robotics conferences, or other competitive venues appropriate to your Ph.D. research field. You should possess strong
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lab has developed cutting-edge methods that combine microfluidics with time-lapse microscopy and automated image analysis to quantitatively track single-cell gene expression in controlled dynamic
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of PhD students in the project Profile We are seeking highly motivated candidates with strong achievements and a proven track record. Applicants must have: A PhD in physics, chemistry, materials science