-
doctoral and masters students. The role offers an opportunity to conduct impactful, collaborative and rigorous research that can make a real difference to the lives of people with bipolar disorder. The post
-
You will join the EPSRC-funded project “Behavioural Data-Driven Coalitional Control for Buildings”, pioneering distributed, data-driven control methods enabling groups of buildings to form
-
students driving innovation across marine, energy, robotics, and materials engineering. With world-class facilities and strong industrial partnerships, we tackle real-world challenges through high-impact
-
LSE is committed to building a diverse, equitable and truly inclusive university Salary from £36,008 to £40,991 pa inclusive with potential to progress to £43,854 pa inclusive of London allowance
-
are looking for: A PhD (or have submitted your thesis before taking up the role) in Materials, Physics, Chemistry or a closely allied discipline Expertise in 4D-STEM data acquisition Expertise in cryogenic
-
areas, and be able to creatively combine disciplines to make new research advances in fluid mechanics. You will be creating data-driven algorithms which can solve state estimation problems in fluid
-
, with more than 55% from outside the UK. The School’s faculty members also come from all over the world, with PhDs from Harvard, MIT, Stanford, Columbia, UCLA, North-Western, Cornell, Duke, Cambridge, and
-
have experience in one or more of these subject areas, and be able to creatively combine disciplines to make new research advances in fluid mechanics. What you would be doing: You will be creating data
-
, molecular biology, and biochemistry. Some previous experience in a similar lab setting would be helpful, but training will be provided. This is a great opportunity to build practical skills and address
-
LSE is committed to building a diverse, equitable and truly inclusive university Salary from £36,008 to £40,991 per annum inclusive with potential to progress to £43,854 pa inclusive of London