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focused on the use of enabling technology, such as flow, to control complex chemical processes. With projects in supramolecular synthesis, organic materials, industry processes, automated optimization, and
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of technology, such as ethics of AI Promising potential for, and evidence of, original high-level research, including an excellent PhD thesis and a beginning publication track record Excellent command of written
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team focused on the use of enabling technology, such as flow, to control complex chemical processes. With projects in supramolecular synthesis, organic materials, industry processes, automated
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to co-supervise a PhD student working in this project. We are looking for candidates who have: a completed PhD degree in physics, electrical engineering or similar field, excellent experience and
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or equivalent Skills/Qualifications Minimum level of education and/or experience required: PhD Required skills, knowledge and experience: Good command of scientific English, both written and spoken Ability
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(FIRM) is a five‑year research programme (2026–2030), funded by TKI Deltatechnologie, Nationale‑Nederlanden and contributions from more than 10 partners from academia, the financial sector, engineering
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, project reviews, and public-facing events. Contribute to research proposals, intellectual-property development, and future scale-up activities. Required Qualifications: PhD in mechanical engineering
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initiation latency, movement speed, gait characteristics, postural control, motor variability, and other behavioural descriptors. ESSENTIAL REQUIREMENT PhD in machine learning, artificial intelligence
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/councils, EU framework program or industry. Qualifications In order to be eligible for employment as post doctor you must have a PhD or a foreign degree equivalent to a PhD in Automatic control or related
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
autonomy to work in close collaboration with a hardware engineer and clinical partners are all valued. A PhD in mechanical engineering, with expertise in shape/topology and system-level design optimization