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You will have a PhD in Computer Science or a related discipline or will have obtained it by commencement of the position. Successful candidates will have experience of model training methodologies
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researcher with a PhD in Physics, or in a closely related discipline and should also have an outstanding track record of research commensurate with their stage of career. Experience in one of the following
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exciting opportunity to contribute to a major regional innovation programme while working as part of a dynamic and supportive team within the Sir Peter Rigby Digital Futures Institute. This role will be
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holder will join a multidisciplinary, diverse, and inclusive team with frequent meetings, interactions, and high-quality mentoring. About You You will have a PhD (or close to completion) in developmental
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dynamic strain and flow fields during flight. Candidates should hold a PhD in a relevant biology or engineering discipline and be competent with numerical simulations. Desirable competencies would include
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explores novel aggregation methods at the intersection of AI safety, computational social choice, and judgment aggregation, aiming to formally integrate multi-stakeholder preferences into AI system design
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(if available) Degree certificates for master and PhD Via our job portal / Apply now-button If you have any content questions, please contact: Univ.-Prof. Mag. Dr. Clemens Jobst (clemens.jobst@univie.ac.at ) We
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group. The positions are associated with a new five-year Programme Grant on "Quantum Many-Body Physics with Ultracold Polar Molecules" funded by UK Research and Innovation (UKRI). The research builds upon
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new research methodologies and materials. You will hold, or be close to completion of a, relevant PhD. Experience in vertebrate experimental embryology (preferably in teleost fishes) and confocal
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assays to be undertaken efficiently within petri dish and micro-titre plate format under fluid walls. The candidate will work with other team members to develop relevant biological workflows and design