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of the Software Engineering unit . About the project This PhD fellowship is part of the national AI Centre for the Empowerment of Human Learning (AI LEARN). AI LEARN is a new Centre dedicated to the empowerment
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using mechanical and enzymatic dissociation protocols. Quality Control: Perform rigorous quality control on isolated cells using techniques such as Flow Cytometry/FACS, Trypan Blue staining, and automated
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programme in chemical engineering, attracting about 160 entrants each year; a one-year MSc course with an intake of about 120; and around 200 PhD students. This is a full-time, open-ended position. This post
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9 Apr 2026 Job Information Organisation/Company ETH Zürich Research Field Computer science » Other Engineering » Other Environmental science » Earth science Physics » Acoustics Physics
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controlled compression techniques. The project will explore both internal and external jugular veins as accessible and reliable markers of central venous pressure. Research objectives: The PhD candidate will
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educational programme for a PhD degree within a period of 3 years. The deadline for applying for admission to the PhD programme at The Faculty of Science and Technology is 2 months after you start your position
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; ability to interpret engineering drawings, circuit diagrams and technical specs. Understanding of budgeting, cost control and value‑for‑money decision‑making. Knowledge of university/research procurement
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degree within a period of 3 years. The deadline for applying for admission to the PhD programme at The Faculty of Science and Technology is 2 months after you start your position or after the start of
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of less experienced academic staff, plus an understanding of governance and quality management systems within a university. Qualifications: Mandatory: A PhD in Electrical/Electronic Engineering or
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of fundamental quantum science questions.The main activities range from quantum control of single photons using solid-state photon sources, integrated waveguide technology, tailored nonlinear media and detectors