314 algorithm-development-"Multiple"-"Simons-Foundation" positions at University of Cambridge
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, inclusive of public holidays (pro rata) Cycle to Work scheme Discounts on train season tickets and interest Free Travel to Work loans University Staff Counselling Service Discounts at the University Sports
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following EV uptake, and data analysis using the Opera Phenix system. Present research work and data within the Institute, nationally and internationally and prepare and submit research for publication in
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. This will require the application of a range of techniques, from in-vitro biochemistry to novel, next-generation sequencing approaches. Most skills can be acquired and developed throughout the post, offering
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to postgraduate students within the Department General duties will include teaching, teaching administration, course development and innovation, and examining. The Teaching Associate will be expected to support and
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organisers during their stay and prepare event literature, including signage and other requirements. You will manage guest room, meeting room and supervision room bookings as well as ensuring the relevant
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possible extension subject to funding). The group works at the interface of clinical and laboratory science, aiming to better understand and develop novel treatments for neurological disorders. In particular
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through the Isaac Science free online platform and through a weekly programme of work and tutorials in our STEM SMART programme (https://www.undergraduate.study.cam.ac.uk/stem-smart ) which will develop a
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develop a deeper understanding of biology and mathematical biology through problem solving. As the project biologist, the role holder will be tasked with the production, quality assurance and delivery
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skills, we want to hear from you. Responsibilities: Undertake course administration activities. Liaise with teaching staff on all aspects of course organisation, prepare, edit and distribute course
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Fixed-term: The funds for this post are available for 2 years. Programming languages provide an interface for developing increasingly complex models in science. However, as computer models grow more