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Are you an engineer who wants to contribute to sustainability, reducing carbon emissions, and materials recycling? We are looking for an outstanding and enthusiastic PhD candidate, with a strong
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Theme I "System change". The programme offers an ambitious high-gain challenge that goes beyond what’s state-of-the-art to find greener alternatives to well-established processes and raw materials in
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rheology and material science in food physics and from environmental process engineering at Wageningen University. We will investigate which ones of these chemicals are the problem source and redesign
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: MSc in materials science engineering. Backgrounds in chemistry, physics, computer science or a related area are also welcome. Good expertise or strong interest in numerical modeling, machine learning
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network, PNAS 121, e2319718121 (2024) Qualifications We seek candidates with a strong background in physics, mechanical engineering, materials science, or computer science with an interest in complex meta
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Infomatter group at AMOLF. The SMIP project aims at revolutionising computing by developing adaptive, smart materials that combine memory and learning directly within their structure, uniting theory and
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surface rheology and material science in food physics and from environmental process engineering. We will investigate which ones of these chemicals are the problem source and redesign the biological process
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at the Faculty of Science ranges from mathematics, information science, astronomy, physics, chemistry and bio-pharmaceutical sciences to biology and environmental sciences. The research activities are organized in
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memory materials as active components, (iii) study the effect of a number of parameters (related both to the magnetic material and the printing process) on the shape-morphing behaviour so as to obtain
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Combine theory, modeling, and experiments to uncover how