The work on deep learning based understanding of ancient coins by Jessica Cooper, who is a Research Assistant and a part-time PhD student supervised by Oggie Arandjelovic and David Harrison has been chosen as a featured, “title story” article by the Journal Sci where it was published in a Special Issue Machine Learning and Vision for Cultural Heritage.
This Week Dr Juliana Bowles brought together nine leading academic and industry partners for the 4th Consortium meeting for the Serums project.
The project aims to produce tools and technologies to support future-generation healthcare systems that will integrate home-based healthcare into a holistic treatment plan, reducing cost and travel-associated risks and increasing quality of healthcare provision.
For further information on the project visit the Serums website
Image and text provided by Annemarie Paton
The Melville Trust for the Care and Cure of Cancer have funded a PGR Studentship relative to the project entitled ‘Detecting high-risk smokers in Primary Care Electronic Health Records: An automatic classification, data extraction and predictive modelling approach’.
Human Reproduction Update is the leading journal in Reproductive Medicine, with an Impact Factor of 11.852. The journal publishes comprehensive and systematic review articles in human reproductive physiology and medicine, and is published on behalf of the European Society of Human Reproduction and Embryology (ESHRE). The Associate Editor system at Human Reproduction Update has been in place since the beginning of 2001 and it has a significant positive effect on the quality and dynamism of the journal.
In the ISI JCR Global Ranking for 2017, Human Reproduction Update is ranked first of 29 journals in Reproductive Biology, and first of 82 journals in Obstetrics & Gynecology.
Tom Kelsey has published extensively in Human Reproduction Update and its sister journals Human Reproduction (impact factor 4.949) and Molecular Human Reproduction (impact factor 3.449). He is also Associate Editor for the Open Access journals Frontiers in Endocrinology and Frontiers in Physiology. He is a regular reviewer for these journals and also the British Medical Journal, BMJ Open, Health Education Journal, Nature Scientific Reports, PLOS One, Mathematical Medicine and Biology, Systems Biology in Reproductive Medicine, and the European Journal of Obstetrics & Gynecology and Reproductive Biology.
The Schools of Medicine and Computer Science are seeking to appoint three highly motivated data scientists with a passion for computer vision and deep learning, and specifically their application to medical imaging. The data scientists will be based in the Schools of Computer Science and Medicine at the University of St Andrews and will work on a national Innovate UK funded initiative to create a pan Scotland Industrial Centre for AI Research in Digital Diagnostics (iCAIRD).
The successful candidates will have the opportunity to work alongside and learn from clinicians, industrial experts from Philips Healthcare and academics to help develop artificial intelligence solutions for the automatic reporting of cancer diagnoses in endometrial and cervical cancer. The main duties of the role will involve being an active member of an interdisciplinary team of scientists to help develop deep learning algorithms, within industry standard guidelines, to analyse patient samples in a manner that allows rapid clinical transfer. This work will therefore have the opportunity to impact both patient welfare and relieve pathologist work burden.
Applicants should have experience in machine learning, demonstrable experience in computer programming languages and an interest in the medical applications of computer science. The candidates would benefit from a track record in scientific writing and working in interdisciplinary teams as well as experience in computer vision.
The posts are full time and over a period of 36 months.
Closing Date: 18 January 2019
Find out more about the vacancies further particulars on the recruitment website.
This week Professor Quigley joined a mission to Japan with other academics from the University of Oxford, Edinburgh, UCL and Manchester. The week long event was organised by the UK’s Science and Innovation team in Japan, part of the Foreign and Commonwealth Office. Over five days the delegation visited and presented at seven companies along with three seminars and workshops. Across nine presentations Professor Quigley presented to hundreds of people and introduced some of the Human Computer Interaction research in SACHI, along with research from the AI research group. This mission has the goal to strengthen research collaboration and innovation partnership between the UK and Japan.
During his talks, Aaron provided examples from our engineering doctorate program, our MSc program, work on research interns, PhD students and academics from across Computer Science.
Dr Tom Kelsey will be holding a panel discussion at Computing’s first ever Artificial Intelligence and Machine Learning Live conference on Monday 19th November in London. Through a variety of expert key-notes, end-user case studies, and panel discussions the conference will highlight key developments within AI.
Tom’s panel discussion: The next big thing or the next big gimmick?
Read more about the conference and programme of events at http://events.computing.co.uk/computingai/programme
- When: 6th March 2017 15:00 - 16:00
- Where: Honey 110 - John Honey Teaching Lab
- Format: Seminar
The Hut Group develop and manage a proprietary eCommerce platform that handled over half a billion pounds of revenue last year. UX within the company is responsible for optimising user flows through the website, and working with Design departments to deliver user delight. With over 30 distinct site brands internally, and several external clients, the team attempt to strike a balance between optimising sites for revenue and user delight. This talk is about the challenges of UX within a wider business organisation, and the role that Computer Science graduates can play in a multidisciplinary UX team.
Elliott joined The Hut Group in June, starting in the Research and Development department. He worked on developing a dashboard for use inside the business, and developed a series of prototypes to show users Social Media content on-site. He now heads the User Experience (UX) department. Prior to joining THG, Elliott worked at Skyscanner as a front-end developer whilst graduating from St Andrews in Computer Science with several modules in HCI.
The School of Computer Science is excited to announce Scotland’s first Engineering Doctorate (EngD) in Computer Science. The innovative research apprenticeship in partnership with The Data Lab, was launched on Monday in Edinburgh and featured in The University News earlier today.
Prospective research engineers and industry sponsors can find essential information and application forms on the EngD website. In partnership with The Data Lab, 5 prize studentships have been announced for 2016. Interested applicants with strong data-intensive and/or data-driven research are encouraged to apply (27th June deadline).
- When: 13th May 2016 18:00
- Where: Byre Theatre
This Friday the Royal Society of Edinburgh’s Young Academy of Scotland is hosting a panel discussion and debate to celebrate the 60th anniversary of one of the most influential essays of all time. CP Snow’s “The two cultures” has passed into popular culture as the idea that arts and sciences are separated by an almost unbridgeable gap in understanding. But is this still true, as science and technology become ever more entwined with our everyday lives? Can we afford to tolerate mutual incomprehension between different groups, and how might we bridge the gap?
A small panel will discuss “The two cultures” and its relevance to modern times in the Studio Theatre at the Byre from 6pm on Friday 13th May, followed by a drinks reception. The panel includes Prof SimonDobson from the School of Computer Science, who also directs the St Andrews Institute for Data-Intensive Research that aims in part to bridge the two cultures by bringing data-driven computational techniques to both arts and science projects.