-
, the following should apply – should you not have the experience below, please do highlight where transferable skills would assist with you undertaking the role. Qualifications PhD, or equivalent professional
-
at the PDRA level must have a PhD in Computer Science or a related field. Candidates must have substantial knowledge in Deep/Machine Learning, Large Language Models (LLMs) Natural Language Processing and
-
related. Experience of code development in a major programming language (such as C, C++ or Java) is essential. Experience of phylogenetics software development, use of high-performance computing
-
Pierrehumbert (Oxford e-Research Centre) and Professor Xiaowen Dong (Oxford Man Institute) at the Department of Engineering Science, Central Oxford. The post is funded by the EPSRC and is fixed-term until 30
-
Pierrehumbert (Oxford e-Research Centre) and Professor Xiaowen Dong (Oxford Man Institute) at the Department of Engineering Science, Central Oxford. The post is funded by the EPSRC and is fixed-term until 30
-
and is fixed-term for 3 years until April 2027. This is an industry collaboration project aimed at advancing the research into the use, extension and optimization of multi-modal large language models
-
PsychoPy), or using a comparable language and library. Persons who are keen to develop a career as an independent investigator are encouraged to apply. This post is full-time (35 hours per week) fixed-term
-
skills in the use of Microsoft Office including Excel, Word and data analysis software (i.e. NVivo, SPSS). Travel with the PI (i.e. to meetings and conferences). Promote the project, and findings, via
-
Archaeology at the University of Bristol. The objective for this role is to map out the emergence of small-scale extraction in Amazon deforestation hotspots using remote sensing and other land-use datasets
-
packages, could include MCMC, SMC and ABC). You will have advanced skills in at least one programming language, so you can both implement the new method and generate simulated spatial population data to test