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methods, and associated climate data analyses. You will acquire skills in science communication, project management and collaborative research, and will be involved in a project of critical interest
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Inspiralis Ltd. (https://www.inspiralis.com ). The student will receive comprehensive support to learn diverse techniques and engage with both national and international laboratories working on RNA
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* Theoretical foundations of machine learning The group has strong ties with the Centre for Discrete Mathematics and its Applications (DIMAP), established in 2007 jointly with Warwick Mathematics Institute and
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technology, publish in top journals and attend international conferences, learn sought after transferable skills, contribute to novel scientific knowledge, and work alongside friendly, enthusiastic experts
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designed to meet multiple needs in marine biodiversity monitoring. The project aims to develop embedded novel deep learning and computer vision algorithms to extend the system’s capabilities to classify
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Nov 18;23(22):14361. Schmalz G, Galler KM. Biocompatibility of biomaterials - Lessons learned and considerations for the design of novel materials. Dent Mater. 2017 Apr;33(4):382-393. Camilleri J, Atmeh
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. physics, materials, engineering) are encouraged to apply. The candidate is expected to have a strong commitment to research and should have demonstrated the ability to independently learn new skills
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the University of Liverpool. As well as gaining a formal HE teaching qualification, you’ll learn key pedagogical skills for the academic job market, primarily through shadowing mentored classroom involvement
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' model. The iterative model will explore vulnerabilities and feedback loops between hydrological processes, infrastructure, and social actors. 3. Embedded Learning: Placements with the Environment Agency
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experience, and should have demonstrated the ability to independently learn new skills. The successful applicant will be based in the Chemistry Research Laboratory, Oxford. Candidates should submit a formal