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An experimental postdoc position is available in the Garbin lab (https://garbinlab.org) on the flow physics of multicomponent droplets. These intriguing systems are central in advanced materials
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Enable ultrasonic welding of composites through advanced process monitoring We aim to advance the integration and joining of thermoplastics composites with a concerted effort of several researchers
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collaborating with the rest of the team to ensure all parts can eventually fit together to realize all steps that need to be performed in the chip-assembly process. Candidates have PhD degree in electrical
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Challenge: Solve computational bottlenecks in the modelling of mechanics of metallic systems. Change: Develop new physics-informed machine learning algorithms and predictive models. Impact: Enable
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(if applicable). Contact information for up to 2 referees. Notes: A pre-employment screening can be part of the selection procedure. You can apply online. We will not process applications sent by email and/or post
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well as laying the foundations for the performance analysis of quantum networks. The successful candidate enjoys working at the boundary of computer science, physics and mathematics, and is excited by the idea
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engineering, Applied Physics, or any equivalent academic field. Furthermore, we are looking for a passionate and committed candidate with an open-minded and good communication skills. Salary and benefits are in
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been well understood to this date, primarily due to the missing link between data analytics techniques in machine learning and the underlying physics of dynamical systems. The goal of this project is to
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-time jobs to support studies, disabilities etc.) to ensure an inclusive and fair recruitment process that does not rely purely on common research metrics. The successful applicant will have: PhD degree
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can be part of the selection procedure. You can apply online. We will not process applications sent by email and/or post. Please do not contact us for unsolicited services.