-
this technology and create stand-alone units within washroom and cleanrooms. We will develop widefield fluorescent imaging techniques to segment contamination from instruments, with automated multi-spectral overlay
-
learning and/or actuarial statistics are particularly welcome to apply. Candidates who would like to work with the University’s multi-disciplinary Global Research Institutes in the areas of either climate
-
, and able to demonstrate a proactive approach to work, show initiative with the ability to multi-task and work with a wide variety of stakeholders. Significant professional experience of working in a
-
groups and key partners. Work as part of a multi-disciplinary team with athletes, coaches and medical staff to provide evidence based support for the development of athletes. Education, Qualifications
-
electronic development Research and provide recommendations for further improvements of the laboratory and equipment Work within multi-disciplinary teams, sometimes more than one team at a time Represent the
-
assure the lifetime utilisation and an efficient end-of-life plan of metals being core to the considerations. To focus on understanding and promoting the transformation of processing and reprocessing
-
under the lead of Prof Hand and Dr Carter is part of the dynamic, multi-national Applied Optics and Photonics Group (AOP: http://www.aop.hw.ac.uk/) at Heriot-Watt University. The HPLA group uses a wide
-
value of benefits provided by Heriot-Watt University Detailed Description This project is part of the new UK Hub in Quantum Sensing Imaging and Timing (QuSIT), that stands as an international centre
-
. Experience in public presentations of scientific results (e.g. workshop/conference talks). Experience of working in a multi-cultural Higher Education or similar environment. Desirable Criteria Previous
-
, sensing techniques, optimisation theory and algorithms, multi-modal data processing, high-performance computing, mathematical image analysis, geometric modelling, acoustic signal propagation, Monte Carlo