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[Eshmuminov et al. Nat. Biotechnol. 2020] and the first clinical transplantation of a liver treated and recovered in a perfusion machine [Clavien et al. Nat. Biotechnol. 2022]. In parallel, the lab has
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modulators for medical applications (computer tomography/cancer treatment) and accelerators (CERN). For the design and optimisation of the various power electronic systems, we develop advanced multi
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applications (computer tomography/cancer treatment) and accelerators (CERN). For the design and optimisation of the various power electronic systems, we develop advanced multi-physics models/digital twins
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programming skills, and prior experience training and evaluating neural network models (e.g. in PyTorch). Familiarity with biomechanics or finite-element modelling is an advantage. Background
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will be conducted in parallel with a sister study in the Canadian Rocky Mountains (a similar position is being advertised at McGill University – see here , Students are welcome to apply to both if they
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categories Extending mixed-integer linear programming models through stochastic and robust optimisation to compute robust intervention programs Contributing to the design of a GIS-based decision-support
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-time control of therapeutic protein expression and metabolic regulation. Leveraging innovative platforms such as direct-current-actuated regulation, electromagnetic programming of wireless expression
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processing Some experience in SAR data processing or another field of array signal processing is an asset The successful candidate has strong analytical skills and programming experience in Matlab, Python
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Position B. A strong interest in fundamental research tackling questions on the perception of time and space in virtual immersive environments. Solid quantitative skills (R, Python, or Stata). Programming
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experience implementing scientific code and validating it against analytical solutions, numerical benchmarks, or well-documented reference results. You have prior programming experience in Python and