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as engineer. The candidates are expected to have most of the following qualifications: Mechanical (CAD, modelling, kinematics, dynamics, control and manufacturing) Robotics and embedded systems
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Computer Vision There is growing trend towards explainable AI (XAI) today. Opaque-box models with deep learning (DL) offer high accuracy but are not explainable due to which there can be problems in
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an open 2-year postdoc position in relation EUROfusion; specifically, on remote maintenance of fusion power plants. The project is on modelling and controller design for the transporter robot for extracting
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transcriptomics and bioimaging to study human liver biopsies and advanced, preclinical models. A combination of wet-lab and computational biology, close ties to the clinic, and a wonderful team of early career
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environment that encourages innovation and creativity. Opportunities for professional growth and leadership. Access to state-of-the-art technology and resources. Project description Many AI models predict
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synergistically integrates innovative oceanographic, biogeochemical, ecophysiological, and model-based investigations. The main research objective is the exploration and quantification of non-photosynthetic sources
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structures. Aerodynamic stability and wind-induced response of long-span bridges. Probabilistic assessment structures and structural elements. Including focus on uncertainty modelling of structural models and
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Cadence Virtuoso, Spectre, or Mentor Graphics. Understanding of semiconductor device physics, especially MOSFET operation, modeling, and scaling. Strong analytical and problem-solving skills, with
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. Cox. The position is available starting 1 December 2025. The successful candidates will work on developing new theoretical models and computational methods to investigate the emergence and properties