13 computer-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Indiana-University" positions in Andorra
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Computing undergraduate programme. Imperial College London seeks several outstanding academics to join its Department of Mathematics within the Faculty of Natural Sciences. These appointments form part of
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. You will be expected to undertake a self-directed program of research and scholarship, play a role in the national and international Mathematics community, in addition to teaching students
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. You will be expected to undertake a self-directed program of research and scholarship, play a role in the national and international Mathematics community, in addition to teaching students
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to identify the computer simulations and observational surveys that maximise information about future sea level for a given computational cost. Work closely with ice-sheet modellers at the British Antarctic
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qualifications PhD in computer science, physics, or a related field. Publications at top ML/AI/theory venues (e.g. NeurIPS, ICML, ICLR, ALT, COLT), though we value the strength of your best work over volume
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Mathematics. As a consequence, we only expect to hire pure mathematicians that can demonstrate a strong alignment to our growing Joint Mathematics and Computing undergraduate programme. Imperial College London
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programme. Working alongside 6 academic staff in algebraic number theory specializing in the Langlands programme will provide you with a stimulating environment to develop a successful research career. Funds
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technician level in their area of expertise OR a minimum of three years of experience as a certified teacher in a vocational/technical construction or maintenance-related training program. Preferred Education
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independent research programme that complements the existing strengths of the Pure Mathematics section whilst delivering high-quality teaching. You will be expected to secure research funding, publish in
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, distributed training, cloud compute, or cluster environments; have experience with large language models, either through training, fine-tuning, evaluation, inference, tooling, or deployment; are able to design