12 parallel-programming-"Max-Planck-Institute-for-Human-Development" Fellowship positions at UCL;
-
(UCL). The successful candidate will join the internationally renowned Biomedical Optics Research Laboratory (BORL) and work within the research programme led by Professor Ilias Tachtsidis, who leads
-
the Cover Letter, where applicants are required to specify which agenda they intend to pursue and how they plan to use the 12‑month appointment to meet the duties and responsibilities of the post. They must
-
• Enhanced maternity, paternity and adoption pay • Employee assistance programme: Staff Support Service • Discounted medical insurance Visit https://www.ucl.ac.uk/work-at-ucl/rewards-and-benefits to find out
-
• Immigration loan • Relocation scheme for certain posts • On-Site nursery • On-site gym • Enhanced maternity, paternity and adoption pay • Employee assistance programme: Staff Support Service • Discounted
-
Fellow to join an exciting interdisciplinary research programme. This is a unique opportunity to investigate mechanisms of cancer dormancy and develop predictive models of late recurrence in oestrogen
-
programme: Staff Support Service Discounted medical insurance Visit https://www.ucl.ac.uk/work-at-ucl/rewards-and-benefits to find out more. Our commitment to Equality, Diversity and Inclusion As London’s
-
programming (e.g. C/C++ on microcontrollers) for data acquisition and device control. You should have solid knowledge of analogue and mixed-signal circuit design for sensor interfacing and readout (e.g. low
-
maternity, paternity and adoption pay Employee assistance programme: Staff Support Service Discounted medical insurance Our commitment to Equality, Diversity and Inclusion As London’s Global University, we
-
nursery On-site gym Enhanced maternity, paternity and adoption pay Employee assistance programme: Staff Support Service Discounted medical insurance Our commitment to Equality, Diversity and Inclusion As
-
Engineering or related topic. Working experience and knowledge of nonlinear numerical modelling of structure and infrastructure exposed to multi-hazards conditions Working experience of advanced programming