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Software Carpentry (introductory Python and software skills for researchers)
Date: 22-23rd April 2026 Time: 09:00 – 17:00 Location: Vivian Tower, room X Speakers: Gaurav Ray and Ed Bennett, Research Software Engineers at Swansea Academy of Advanced Computing, Swansea University Contact Information: Ed Bennett, <e.j.bennett@swansea.ac.uk> Overview of Event: Do you wish that you could make Python do what you wanted? Have you always been mystified by…
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Beyond the Prototype: Building the Roadmap to Impact
Date: 11th February 2026 Location: Computational Foundy/Swansea University Contact Information: Daniele Cafolla <daniele.cafolla@swansea.ac.uk> Overview of Event: “Beyond the Prototype: Building the Roadmap to Impact” was a one‑day impact workshop held at Swansea University, bringing together clinicians, researchers, industry partners, and technologists to explore how an AI‑enabled, wearable, multi‑parameter monitoring platform can be translated from laboratory prototype…
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The Evolving Landscape: Past, present and Future – Air Commodore Wales Rod Woods
Date: 18th February 2026 Time: 14:00 Location: CoFo 002, Computational Foundry Speakers: Rob Woods Air Commodore Rob Woods, Air Officer Wales Contact Information: Ransing R.S. <R.S.Ransing@Swansea.ac.uk> Overview of Event: Dear Colleagues and Postgraduate Students, You are warmly invited to attend an exclusive networking event and interactive talk with Air Commodore Rob Woods, Air Officer Wales, on…
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CARI-ZI workshop: Reciprocal Benefits: Addressing Environmental Challenges by Driving Computational Innovation
Date: 4th February 2026 Time: 12:00–14:00 Location: Engineering Central B014, Bay Campus Speakers: Dr Kris Ions and Dr Gary Tam Contact Information: Cai Ladd <C.J.T.Ladd@Swansea.ac.uk> and Sara Sharifzadeh <sara.sharifzadeh@swansea.ac.uk> Overview of Event: This workshop aims to bring together researchers working on environmental challenges with colleagues developing computational and AI-based approaches, to explore how our research…
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CRANE Wales Regional Seminar Series: Multiparty Computation for Privacy Preserving Computing
Date: 11th December 2025 Time: 14:00 Location: Computational Foundry, Room 202 (Robert Recorde Room) Speakers: Dr Berry Schoenmakers, Department of Mathematics and Computer Science, Eindhoven University of Technology Dr Berry Schoenmakers is an internationally recognised expert in the field of cryptography, with a particular focus on Secure Multiparty Computation (MPC). His research focuses on the…
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Zienkiewicz Institute Community Event – 19th November 2025
Date: 19th November 2025 Time: 13:30 – 15:30 Location: Engineering North, 102 Speakers: Oubay Hassan, Siraj Shaikh Overview of Event: Dear colleague, For the upcoming ZI community event, Professor Oubay Hassan and Professor Siraj Shaikh have kindly agreed to share their recent experience in winning a Programme Grant and a Prosperity Partnership Grant. Date: Wednesday…
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Connecting Expertise Webinar Series: HDR UK Wales & Grenoble University
Date: Thursday, 27 November 2025 Time: 12:00–13:00 (UK time) | 13:00–14:00 (France time) Location: Online Overview of the Event: Join us for the first event in the HDR UK Wales “Connecting Expertise” webinar series – bringing together researchers, professionals, and industry partners to share expertise and explore opportunities for collaboration across health data research. This session will…
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Zienkiewicz Institute Community Event for Grant Calls
Time: 15th October 2025 Location: Eng North 010 and 008 Speakers: Overview of the Conference: The next Zienkiewicz Institute community event will be held on Wednesday, 15th October 2025. It will focus on the following three grant calls: UKRI Artificial Intelligence for Environmental Science Phase One (Deadline 11 December 2025) UKRK Addressing Nuclear Fission Challenges for a…
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Constitutive Modelling by Symbolic Regression
Time: 11:00 am – 12:00 pm, 9th September 2025 Location: Computational Foundry (Bay Campus), Robert Recorde Room (102) Speakers: Prof. Mikhail Itskov, Department of Continuum Mechanics, RWTH Aachen University, Aachen, Germany Overview of the Seminar: Symbolic regression represents an interesting method of machine learning which allows an unbiased, automated generation of constitutive models for various…
