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these processes, inform targeted in vitro experiments, and help design better biomaterials and TE strategies that harness mechanics and geometry. As a PhD candidate, you will adopt and extend in-house homogenized
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(J.E.Flack@tudelft.nl ). PhD position is envisaged to start 1st September 2026. Application procedure Are you interested in this vacancy? Please apply no later than 3 May 2026 via the application button and
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 1 month ago
Engineering » Process engineering Engineering » Water resources engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 6 Apr 2026 - 15:00 (Europe/Amsterdam
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check are part of the application process. Applications received by e-mail will not be considered. Acquisition in response to this advertisement is not appreciated. Website for additional job details
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charge of your own learning process . An excellent technical infrastructure, on-campus children's day care and sports facilities. Unlimited access to the modern on‑campus TU/e Student Sports Center at an
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, gradually moving from 2D to 3D geometries using microfluidic devices fabricated in-house. You will be part of the Multiphase Systems group within the Process & Energy Department at TU Delft. The group
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) comprising of a scientific presentation followed by discussion will be part of the selection procedure. Following a pre-selection, short-listed candidates will likely be invited for interviews 1-2 weeks after
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. Staff and students are working to improve the built environment with the help of a broad set of disciplines, including architectural design, urban planning, building technology, social sciences, process
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immediately prior to the recruitment date. Selection process APPLICATION PROCEDURE The applicant must apply through the project website: www.cangonano.eu . Any other form of application will not be considered
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decision-making and reinforcement learning Enhancing transparency and contestability of decision-making processes, taking a multimodal approach to reveal the reasoning behind complex AI-driven planning and