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optoelectronic applications. Applicants should have (or be about to obtain) a PhD in chemistry with expertise in the synthesis and controlled self-assembly of conjugated small molecules and/or polymers. Key skills
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interviews with a diverse range of citizens to explore their knowledge, attitudes and behaviours towards price promotions and the bans. The successful applicant will have a PhD in Population Health Sciences
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also receive: Working daily allowance for food and drinks* Free car parking (where available) 25 days holiday plus bank holidays (increasing with length of service) Generous pension contributions
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, https://ellis.eu ) is a European AI network of excellence putting together the best researchers in machine learning in Europe. It focuses on fundamental science, technical innovation and societal impact
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modelling to study the causes and consequences of extreme chromosomal instability in these cancers. The role will involve: - Learning and applying cytogenetic methods for generation and analysis of chromosome
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cycles and refine deliverables accordingly. The skills, qualifications and experience required to perform the role are: A PhD in Computer Science, Civil Engineering, Data Science, Information Systems, or a
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closure and bank holidays) Free meals on shift A 6% employer contributory pension scheme Free car parking (if available) Life assurance x3 salary A health cash back scheme Cycle to work scheme Wellbeing
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skills to work independently on a day-to-day basis. Applicants must have (or be about to obtain) a PhD in the physical sciences (or similar relevant experience); desirable fields of study include
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research skills, provide instruction or plan/ deliver seminars relating to the research area. The successful candidates will have a PhD (or expect to soon be awarded) in the physical or biological sciences
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or spatial profiling; Mouse genetics and in vivo experimentation; Lineage tracing, clonal dynamics, or immune repertoire studies Candidates should hold (or be close to completing) a PhD in a relevant field