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for applications: 30th September 2026 Interviews will be held on 21st October 2026 The candidate must be in a position to register by January 2027 Project overview This fully funded PhD studentship, supported by
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Chemistry, Pharmacy, Biochemistry, or related disciplines. Master's degree granting access to a PhD programme. Previous experience in molecular modelling, computational chemistry, computer-aided drug design
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? We are looking for a PhD candidate to develop AI methods that extend current sets of flood scenarios derived from physical and numerical models, incorporate climate change effects, and then use
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for future transmission systems as systematic, scalable and routinely applicable as RMS-based studies are today. This PhD aims to develop the computational foundations for scalable, automated EMT-based
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multiscale simulations and AI predict how a breathable material knows when to seal? In this PhD project, you will develop responsive MOF-peptide coatings for adaptive surface functionalization and derive
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management Geosciences » Geology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 30 Aug 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Permanent Job
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flow theory or machine learning frameworks (e.g., PyTorch, TensorFlow). Strong written and oral communication skills in English. Personal characteristics To complete a doctoral degree (PhD), it is
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improved using machine learning techniques. The developed techniques will be applied to metrology of semiconductor samples. Job requirements You are an enthusiastic candidates with a ‘drive’ for applied
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 months ago
into resources that can be used for machine learning. The PhD will therefore investigate multimodal approaches that connect visual sign-language information with textual representations under low-resource
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This 3.5-year PhD project is fully funded and only home candidates are eligible. The successful candidate will receive an annual stipend of £25,518 p.a. and tuition fees will be paid. We recommend