30 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" research jobs at UNIVERSITY OF SOUTHAMPTON
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application of innovative Machine Learning (ML) frameworks to understand and predict the global hydrological cycle. The role will require bridging the gap between process-based physical modeling and scalable
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deep learning models, in causal statistical models and in human-machine teaming and AI ethics. The researcher will conduct internationally-leading research in human factors with applications
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limited to Franking machines, handheld devices, desk top PCs and Inputting any required data accurately onto our online systems. Receiving goods in and routing them to the correct location within the agreed
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work well within multidisciplinary teams. A strong publication track record in high-quality international journals or industry experience in using Shima Seiki WholeGarment machine would be an asset
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, and finally using deep learning to solve the complexity challenge associated with coherent beam combination. The role Within HiPPo, your specific task will be to develop a ‘digital fibre laser’, through
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change and its relevance for present-day sustainability strategies. Alongside your research contribution, you will co-teach modules in Archaeology and Cultural Heritage. About you You have a PhD in
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polarisation shaping, and finally using deep learning to solve the complexity challenge associated with coherent beam combination. The role Within HiPPo, your specific task will be to develop a ‘digital fibre
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An exciting opportunity is available for a talented researcher to join a successful team in Primary Care Research Centre/Clinical Experimental Sciences to develop an e-learning tool for clinicians
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enthusiastic and capable doctoral candidates who are eager to dive into cleanroom/laboratory work and learn new practical skills for a foundation underpinning a career in photonics. You’ll have a solid grounding
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to conferences during the project duration. It is desirable that the person has experience in designing and testing ion thruster technology, or a demonstrated aptitude for learning new fields of research