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) Fabrication and characterization of nanoporous and polymeric materials Theoretical and computational modeling of transport and energy efficiency Supervision and mentoring of doctoral and master’s students
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of computer graphics fundamentals, numerical methods, and GPU/parallel computing concepts. Experience with at least one major deep learning framework (PyTorch preferred). Excellent problem-solving skills and
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opportunities but requires robust biological protocols and stable bioelectronic interfaces. In parallel, biomolecules and their complexes can be probed and controlled using CMOS micro-/nano-electronics, enabling
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in vivo imaging and computation, and in vivo molecular biology, where the Postdoc position (LBB, ETH Zurich) will be focusing on the further development of our multiphoton intravital imaging technology
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Investigators, 4 doctoral students, and 4 Postdocs and aims to quantify the impact of disappearing firn on mountain glaciers. The project also features a broad network of partners in Europe and Central Asia. Job
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100%, Basel, fixed-term The highly competitive the Bio-Engineering Systems for Therapeutics (BEST) postdoc programme, part of the Next-gen Bioengineers initiative, is operated jointly by
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, chemists, materials scientists, and electrical engineers focusing on physics and chemistry of soft electronic materials for new optoelectronic devices and integrated systems. We aim to hire 1 – 2 postdoc
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(technicians, graduate students, postdocs and senior scientists) to streamline and optimize experimental procedures in the CRISPR/eDNA research domain. The focus will not only be on basic research, but
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for a reliable, enthusiastic, and highly motivated postdoc with a passion for science to join our team in Zurich. Our research focuses on process- and system-understanding of the biosphere-atmosphere
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a postdoc in this project, you will: Establish and characterize human neuron-tumor co-cultures using iPSC-derived neurons and patient-derived GB models on HD-MEAs Perform longitudinal