20 application-forms-"https:"-"https:"-"https:"-"IFM" PhD positions at University of Twente
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shaping at the University of Twente, many applications have arisen, ranging from quantum security to microscopy. The key challenge of wavefront shaping is to find out exactly how to shape the light to form
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that may be used in a variety of consumer and industrial application. You'll leverage your expertise in organic chemistry to modify polymers using green chemistry and hydrogen/electrons/photons, enabling
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opportunities for workers with disabilities by studying and co-designing socio-technological innovations. The PhD project that we are currently hiring for, builds on the notion that novel forms of digital work
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. Information and application Interested? Send your application before February 15th, 2026 through the provide button and should include: transcript of your MSc course grades CV, including publication list (when
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PhD position ‘Courage to Correct: Balancing Error Prevention and Learning in Strategic Crisis Teams’
Safety section, focuses on strengthening communication, learning, and error response in strategic crisis teams. Information and application Are you interested in this position? Please apply no later than
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Optimisation and Simulation (NEQIOS) together with companies IBM and Enlightra and universities Oxford, Heidelberg and Radboud. NEQIOS aims to create a new class of brain-inspired (or “neuromorphic”) computing
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. The successful applicant will join the lab of Bettina Schwab within the Biomedical Signals and Systems group of the department of Electrical Engineering at the Faculty of Electrical Engineering
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directions will advance the understanding of security vulnerabilities of LLMs, and the prevention of malicious output generation. Information and application Are you interested in this position? Please send
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. Information and application Are you interested in this position? Please send your application via the 'Apply now' button below before February 16, 2026, and include: A detailed CV (resume); a motivational
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graph learning models, primarily geared towards assisting combinatorial solvers for practical graph algorithm benchmarks. Please find out more here: Dr. G. Rattan Information and application Are you