50 machine-learning-"https:"-"https:"-"https:"-"https:" positions at University of London
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diverse perspectives connect, to have a profound impact on the way the world does business and the way business impacts the world. We offer best in class hybrid learning to our students and participants
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biology, detailed knowledge and laboratory experience in molecular biology, in particular familiarity with DNA isolation, PCR genotyping, ONT-based NGS sequencing and analysis with relevant computer and
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teach in our Comparative Biomedical Sciences Department. You must be a member of the Royal College of Veterinary Surgeons (UK Practising) or be immediately eligible for registration as the latter. You
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detection models, with a focus on achieving generalisable multimodal understanding in zero-shot settings. About You The successful candidate must have a PhD (or equivalent) in the field of computer vision or
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the way business impacts the world. We offer best in class hybrid learning to our students and participants, whilst creating a flexible, supportive and dynamic working environment for our people
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essential, along with a willingness to learn new systems. Strong organisational and numerical skills are key, as are excellent interpersonal abilities to build effective working relationships across
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, have a keen drive to learn and an enthusiastic and personable approach to client and patient care. CPD is both encouraged and funded. We offer a generous reward package including a pension scheme. The
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extraordinary minds and diverse perspectives connect, to have a profound impact on the way the world does business and the way business impacts the world. We offer best in class hybrid learning to our students
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an Employability Coordinator, and collaborate with academic staff to co-design and embed Information, Advice & Guidance (IAG), mentoring, and work-based learning opportunities directly into the curriculum. The role
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/interpersonal skills Computer literate in Microsoft Word, Excel, Powerpoint Experience of working in a research environment Experience of interdisciplinary working In return we offer a highly competitive rewards