288 parallel-processing-bioinformatics-"Multiple" positions at University of Cambridge
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
in a quantitative subject (e.g. Bioinformatics, Biostatistics, Bioinformatics, Computational Biology, Epidemiology, Health Data Science or similar).* Expertise in processing large genomic datasets
-
Applications are invited for a PhD studentship on the project EQUATE - a project that investigates how Natural Language Processing (NLP) could be made globally more equitable. This UKRI Frontier
-
process, adapting the technology to meet industrial requirements. This will involve kinetic and mechanistic studies to optimize catalyst performance; scale-up, process intensification and adaptation
-
), Cambridge University, to study biochemical and cellar processes at the Phytophthora-Nicotiana haustorium. Our lab studies how evolutionarily conserved plant cell & development processes shape interactions
-
Applications are invited for a NIHR Clinical Lecturer in Neurosurgery (Department of Clinical Neurosciences) or General Surgery (Department of Surgery) or Emergency Medicine (Department of Medicine
-
contact Dr Kate Knill email: kmk1001@cam.ac.uk . For questions on the application process, please contact Kim Cole (Divisional Administrator, Information Engineering) email: div-f@eng.cam.ac.uk (tel +44
-
Applications are invited for a NIHR Clinical Lecturer in Cardiology (Department of Medicine) or Trauma and Orthopaedic Surgery (Surgery) or Respiratory Medicine (Department of Medicine) Please note
-
developing cutting-edge computer vision and deep learning aimed at optimising inspection and monitoring of infrastructure. Applying these advanced technologies to real-world infrastructure challenges through
-
using command-line and writing and running scripts are essential. The successful applicant will work to implement and validate automated tools for the processing and analysis of high throughput sequencing
-
one million years. Perform end-to-end genomic data processing, including quality control, assembly, annotation, and downstream bioinformatics analyses. Develop and apply statistical and computational