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(or “neuromorphic”) computing platforms capable of efficiently tackling some of the most challenging computational problems in science and industry, underpinning applications ranging from materials discovery and
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these demonstrations point to a wide range of applications, critical challenges regarding color center physics and their large-scale integration into systems remain untackled. As a PhD student in the Errando-Herranz’s
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Netherlands Application Deadline 28 Jan 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 36.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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Netherlands Application Deadline 8 Feb 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 36.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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, Computational Mechanics, Mathematical Engineering or equivalent is required. A strong background in mechanics of materials and multi-scale and multi-physics methods is highly desired. Additional expertise in
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contributing to the next generation of computing technology. You will work on CVD and MOCVD growth of 2D materials (e.g. transition metal dichalcogenides, metal oxylselenides), focusing on achieving both n-type
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Application Deadline 24 Jan 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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. The DRIVE-RM program (https://drive-rm.nl/) explores how smart, bioinstructive materials can guide the regeneration of tissues and organs inside the body. These materials don’t just sit there — they interact
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environment for research and development. Job requirements Master’s degree in (Applied) Physics, Chemistry, Chemical Engineering, Materials Science, or a closely related field Affinity for energy storage, with
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of construction, micro and macro-level governance structures, and the socio-materiality of renovation processes. Proactive, showing initiative and able to propose and critically evaluate your learning process Great