19 parallel-processing-bioinformatics Fellowship positions at UNIVERSITY OF SOUTHAMPTON
Sort by
Refine Your Search
-
robust, reproducible genomic bioinformatics pipelines, using modern workflow systems and high‑performance computing platforms. Produce rigorous, high‑quality research outputs that advance applied genomic
-
discipline. You will have demonstratable experience in field-based research, microbiology (field and laboratory), bioinformatics (e.g. metagenomics and high-performance computing), and handling plants and soil
-
(field and laboratory), bioinformatics (e.g. metagenomics and high-performance computing), and handling plants and soil, particularly roots (i.e. rhizosphere collection and root traits). You will have a
-
application of innovative Machine Learning (ML) frameworks to understand and predict the global hydrological cycle. The role will require bridging the gap between process-based physical modeling and scalable
-
of working with large gridded geospatial datasets. They will focus on designing approaches to process and utilise such datasets in population modelling and integrate them into WorldPop’s workflows to construct
-
designed to fulfil the requirements for an out-of-programme experience for a specialist trainee in oncology, haematology surgery, pathology or any other disciplines related to cancer, but may also be
-
will lead the natural language processing and language modelling aspects of the project, focusing on how sensor-derived motion data (from radar) can be transformed into linguistically meaningful BSL
-
surgery, pathology or any other disciplines related to cancer, but may also be suitable for an individual who does not yet have a national training number and wishes to pursue a career in the cancer field
-
System Models) to isolate and evaluate the role of individual processes. You will also assess how climate variability and extremes, including changes in the probability of high-impact events, are altered
-
the two-micron wavelength band to the kilowatt regime motivated by the needs of applications such as industrial laser processing. The project will involve close collaboration with other members of the HiPPo