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dynamical systems, and machine learning, with applications to synthetic biology and biomolecular circuit design. Our research develops mathematical and computational frameworks for understanding and
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work closely with Professor Platt, guide the group’s computational research, contribute to ongoing projects, and pursue independent research directions aligned with the laboratory’s goals. Project
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convective heat transfer with the surrounding air. Within our research group at ETH Zurich, we are developing computational workflows for predicting temperature fields in machine tools using computational
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scientometrics Profile Background Master’s degree ideally in information science, library science, data science, computer science, or a comparable field; a PhD is an advantage Regardless of academic background
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100%, Basel, fixed-term The highly competitive Bio-Engineering Systems for Therapeutics (BEST) postdoc program, part of the Next-gen Bioengineers initiative, is run jointly by ETH Zurich and Roche
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COMPAS XR framework developed at ETH Zürich. Project background The successful candidate will work at the intersection of computational design, XR, human-computer interaction, and robotic fabrication, with
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-dimensional biological datasets, developing and maintaining bioinformatics pipelines, and collaborating closely with experimental scientists to translate computational findings into biological insight
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evaluate prototypes together with industrial partners Profile Required experience CH/EU/EFTA citizenship or valid Swiss work permit PhD in Engineering, Computer Science, Robotics, or related field Strong
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an internationally recognised, competitive research program sustained by external funding. Teaching experience at university level is expected. The candidate will teach at the Bachelor level and contribute
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the Department of International Law. They will also be called upon to teach classes and supervise master’s dissertations in the interdisciplinary programme and may be asked to contribute to executive education