11 machine-learning-phd Postdoctoral positions at DURHAM UNIVERSITY in United Kingdom
Sort by
Refine Your Search
-
are seeking a recent PhD astrophysics graduate to work on the analysis and interpretation of data from cosmological hydrodynamics simulations of galaxy formation, particularly from the COLIBRE project
-
opportunities to collaborate, take part in network events and undertake research placements within this project. You will have a PhD in Physical Sciences or a closely related field, and you will have a background
-
network events and undertake research placements within this project. You will have a PhD in Physical Sciences or a closely related field, and you will have a background in the modelling of molecular
-
The Role This scheme offers up to 6 months follow-on funding to EPSRC-funded research students after they have submitted their PhD. The EPSRC Postdoctoral Pathway scheme (formerly known as Doctoral
-
a PhD in Physical Sciences or a closely related field, and you will have a background in X-ray diffraction. Knowledge of databases, crystallisation and other characterisation methods for molecular
-
, agrochemicals, and food industries. There are multiple opportunities to collaborate, take part in network events and undertake research placements within this project. You will have a PhD in Physical Sciences
-
and facilities, including Durham's High-Performance Computer, Hamilton (15,616 CPU cores, 36TB RAM and 1.9PB disk space). As part of the Northern 8 cluster, members of Durham University can also submit
-
forefront of hydrogen technologies and their integration to the energy systems. The successful candidate will hold a PhD degree (or close to completion) in Mechanical/Electrical Engineering or related subject
-
Durham, you will have access to state-of-the-art instrumentation and facilities, including Durham's High-Performance Computer, Hamilton (15,616 CPU cores, 36TB RAM and 1.9PB disk space). As part of
-
at Durham University. This is a unique opportunity to work at the forefront of hydrogen technologies and their integration to the energy systems. The successful candidate will hold a PhD degree (or