A job application form signed by Apple co-founder Steve Jobs as a teenager back in 1973 -- one that hints at his computer skills -- is being sold at auction in London. The paperwork for the unspecified position dates from a year before Mr Jobs joined then video game start-up Atari as a technician and worked alongside Steve Wozniak. The duo would go on to found the Apple Computer Company, releasing their first machine, the Apple-1, just two years later. Had teenaged Jobs' application been successful, he may not have met Mr Wozniak and the landscape of modern computing would likely have ended up very different. London auctioneer Charterfields is auctioning the item online on February 24, 2021 -- with bids set to open at £15,000 (which is around $20,950).

Every crisis presents an opportunity and covid-19 is no different. Like in many others, the pandemic has changed consumer behaviour in the life insurance industry as well, leading to greater interest in pure term insurance plans. Also, self-service usage has seen a sharp uptick in these times, as an increasing number of Gen X and Gen Y customers are adopting self-service options. Not long ago, on-boarding required customers to fill up application forms, a laborious process which involved a lot of paperwork and anxiety. Also, the fulfillment journey required multiple hand-offs and disparate systems leading to customer experience issues.

The travel sector has arguably been slower than other industries to take up machine learning – a subset of the larger field of Artificial Intelligence – focusing on automation methods to learn and predict, from past data. Is it a cultural phenomenon? The travel industry is among most traditional of all in terms of its main selling point – the personalised, human-facing customer experience – and has struggled to come to terms with machines replacing human recommendation and action. Today's customer is seeking more answers, more quickly, from companies before and after buying products and services – and the modern traveller is no exception. Traditional travel firms need to move with the times and respond to customer expectations.

Sellafield are seeking to innovate in the way they analyse Health, Safety and Environmental data to improve insight, trend analysis and early prediction of safety issues. The data which needs to be analysed includes safety observations, assurance activities, assurance action tracking information, accident reports and unsafe condition reports. Applications are invited for technological solutions to meet this challenge. The deadline for applications is Friday 24th January at 12 noon. Sellafield are exploring the use of Machine Learning (ML) to help analyse health, safety and environmental data to improve prediction of risk.

To accelerate the Agrifood industry transformation using A.I., Danone and Microsoft are launching together the AI Factory for Agrifood - a 3 months accelerator program for innovative AI based solutions. Created by Microsoft in partnership with the Inria laboratory, the AI Factory program unites a community of startups dedicated to the development of innovative solutions based on Artificial Intelligence. At Danone, our vision is that the health of people and the health of the planet are interconnected. This program is a call for entrepreneurs and innovators to join the food revolution and build together a more sustainable food system. If you want to join this community and benefit from Microsoft and Danone expertise, please fill out this application form and make sure to complete the requested information accurately.

We are on the lookout for the best and brightest students interested in the intersection of music/audio technology and AI. For this round of applications we are offering a number of scholarships to applicants who are ordinarily resident in the UK (i.e. have lived and studied/worked in the UK at least the last three years – this includes EU nationals) and a smaller number of scholarships to international students. We have a large number of 4-year PhD studentships available for home, EU and international students starting in September 2020 which will cover the cost of tuition fees and will provide an annual tax-free stipend (£17,009 in 2019/20). The CDT will also provide funding for conference travel, equipment, and for attending other CDT-related events. Please see the international PhD scholarships page for full details of Queen Mary's international funding partners, including other schemes not listed here.

CALL 1 OPEN – SCHOLARSHIPS in Sep 2020 The centre seeks applications to join the programme in September 2020 from talented graduates with an interest in machine learning research. Further information about the questions asked in the application form are provided here. Each student in the centre will receive a generous scholarship valued at over €120,000. This includes a tax-free stipend of €18,500 per year for four years, full coverage of tuition fees, funds for conference travel, and an ample equipment allowance. Students will also have the opportunity to earn extra income within their host institution through teaching activities.

The MSNZ Frankfurt offers positions for advanced postdoctoral researchers as junior group leaders with expertise in Bioinformatics, Artificial Intelligence / Deep Learning or Computational Biology and a focus on translational cancer research. The position aims at scientists with a life science background or physicians working exclusively in science or with limited clinical duties who are aiming at a long-term perspective in academic medicine with high scientific expectations. A competitive research proposal needs to be submitted. The application form is available for download below. Please describe your project plan and scientific concept with all relevant information and provide an outlook for your future career plans as well as your long-term scientific goals.