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candidate: Analytical and problem solving skills Team-player Reliable and trustworthy Flexible and eager to learn Able to adapt in a fast-paced dynamic environment Have good communication, organizational and
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of Excellence is to conduct high caliber, state-of-the-art research, both basic and applied. A central task is to acquire research funding for the Centre, to provide facilities to the researchers, and to support
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maintaining a working, teaching, and learning environment, free from any form of discrimination, whether direct or indirect Work Location(s) Number of offers available1Company/InstituteUniversity
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training skills in medical undergraduate education.’ Background and Rationale: There is evidence that active engagement in education improves learning outcomes. More specifically, research suggests
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including e.g. bus routing or energy networks, large-scale machine learning, and cybersecurity aligning with the missions of the Institute within the context of the Resilience Plan of the government. CyI
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interdisciplinary research team at the Computation-based Science and Technology Research Centre (CaSToRC). The successful candidate will pursue Research & Development (R&D) in the areas of Machine Learning (ML) and
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to candidates with demonstrated expertise in simulations across scales and in combining physics-based and machine learning methodologies, with applications to scientific and engineering areas, and with experience
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School and will work under the Supervision of Dr Nicoletta Nicolaou ([email protected] ), with expertise in the fields of Biomedical Signal Processing and Machine Learning. Project Description: Title
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Qualifications: 1+ years of relevant working experience Experience with Reinforcement Learning (RL) techniques Experience with Horizon 2020 and Horizon Europe Research and Development (R&D) projects Basic
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days from home; 3 days from the office) “Dress for your Day” code 21 days of Annual Leave Offering Additional Annual Leaves in August Extensive learning opportunities Purpose-driven organisation A