Sort by
Refine Your Search
-
postgraduate degree, ideally a PhD, in statistics, machine learning, or a related field. Experience of developing new statistical methods and a strong working knowledge of a statistical software package, such as
-
postgraduate student learning through their specialty discipline. We are looking for candidates with an RCVS registrable degree in veterinary science, who also hold or are eligible to sit an American or European
-
doctoral degree, in sexual and reproductive health or a relevant subject/discipline and a recognised teaching qualification equivalent to the LSHTM Postgraduate Certificate in Learning and Teaching, or to be
-
Weighting). The post will be subject to the LSHTM terms and conditions of service. Annual leave entitlement is 30 working days per year, pro rata for part time staff. In
-
develop research that can inform policy in this important area. The candidate should have a background in a quantitative subject, in particular epidemiology or medical statistics and be familiar with
-
salary scale, Grade 6 scale in the range £45,907 - £51,156 per annum pro rata (inclusive of London Weighting). The post will be subject to the LSHTM terms and conditions of service. Annual leave
-
£45,097 - £51,156 per annum (inclusive of London Weighting). The post will be subject to the LSHTM terms and conditions of service. Annual leave entitlement is 30 working days per year, pro rata for part
-
. This collaboration of European and American specialist trauma centres aims to advance research in the field of fundamental, translational and clinical research into the body’s acute and longer-term response to severe
-
available immediately. The salary will be on the Academic Pathway salary scale, Grade 6 in the range £45,097-£51,156 per annum (inclusive of London Weighting). The post will be subject to the LSHTM terms and
-
rata (inclusive of London Weighting). The post will be subject to the LSHTM terms and conditions of service. Annual leave entitlement is 30 working days per year, pro rata for part time staff. In