30 computer-science-image-processing Postdoctoral positions at University of Liverpool in United Kingdom
Sort by
Refine Your Search
-
related to computer-aided formal verification. The position is funded through the EPSRC-Project Games for Good grant, with Patrick Totzke, Sven Schewe and Qiyi Tang. Collaborations with other local and
-
to knowledge exchange and dissemination efforts through activities such as presentations and outreach initiatives. The School of Electrical Engineering Electronics and Computer Science is an Athena Swan Bronze
-
. You should have a PhD in Physics, Surface Science, Physical Chemistry or Imaging science with a strong publication track record and a demonstrated commitment to excellence. Exceptional Skills in high
-
. Digital Energy leverages cutting-edge digital technologies, including data analytics, artificial intelligence (AI), and distributed ledger technology, to enhance the planning and operation of energy systems
-
obtain) in areas relevant to this post (e.g. computer science, engineering, Statistics, and mathematics etc). This role is eligible for sponsorship under the skilled worker route Commitment to Diversity
-
at the University of Liverpool. You will be part of an exciting Liverpool-based UKRI-funded programme of research called ¿SCHOUSE: Supporting Communities in social Housing and Optimising Urban food System
-
at the University of Liverpool. Your role will include building a computational model for the interaction of a plasma with a solution undergoing the sol-gel transition process. The role also includes conducting
-
We seek a motivated Postdoctoral Research Associate to join the UK-EDI team, a Cancer Research UK-funded programme aimed at earlier detection of pancreatic cancer. You should have a PhD in cancer
-
UKRI-funded programme of research called “SCHOUSE: Supporting Communities in social Housing and Optimising Urban food System interventions for Equity”. This exciting opportunity offers for a postdoctoral
-
of materials (e.g., combining structure prediction and machine learning). For example, we work closely with experts in computer science as part of the Leverhulme Research Centre for Functional Materials Design