Sort by
Refine Your Search
-
languages (C, C++, C#, Python, Matlab), experience with machine learning in robotics or computer vision, a desire to advance resilient, introspective processing architectures in robotics, a desire to work
-
proteomics. With close links to industry, this role also offers the opportunity to collaborate with local and international experts in E3 ligase biology and ubiquitin signalling, machine learning/Artificial
-
for 2 years. You will lead a research team working on the application of software (AI/machine learning techniques), to improve the efficiency of advanced hardware and integrated circuit design. This role
-
Carbon Modelling. This position offers an exciting opportunity to make use of the recent developments in AI and machine learning algorithms by measuring soil properties rapidly over a large area using cost
-
science and lipids. Experience with AI and machine learning is preferrable but not mandatory experimental skills on microfluidics, analytical techniques, microscopies (fluorescent, confocal and electron
-
skills and experience with statistical modelling including spatio-temporal modelling and machine learning A strong track record in translating research into practical outcomes. Good verbal and written
-
relevant field a research background in microfluidics, protein science and lipids. Experience with AI and machine learning is preferrable but not mandatory experimental skills on microfluidics, analytical
-
on the ground robot for real-time soil property assessment, providing critical below-ground data to complement above-ground phenotypic analysis develop machine learning algorithms for real-time analysis of plant
-
oscillations, delta Scuti stars, exoplanets, stellar clusters and associations, and machine learning. We make extensive use of data from NASA’s Kepler,TESS and JSWT Missions, and also have access to ground-based