323 parallel-processing-bioinformatics-"Multiple" positions at University of Cambridge
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
project and line management, administrative support and help to manage lab finances and operations. They will provide the critical interface between research and administrative processes within the lab
-
bioinformatics/computer science will be essential. Prior experience with connectomics data is highly desirable. Our group has developed an international reputation in this area and our tools have now been used in
-
complex research projects involving multiple interdependent components. Experience in programming (python) and applying AI-assisted technologies to streamline research and analysis workflows is highly
-
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
-
understanding of financial processes and systems Excellent analytical and problem solving skills Exceptional organisational skills, with the ability to manage multiple priorities Commitment to continuous
-
We are seeking a proactive Facilities Assistant to join our Facilities Management (FM) team. You will play a key role in the smooth operation of FM services across the University's Estate, including
-
bioinformatics. The Department's research strengths currently lie in behaviour and neuroscience, conservation science, ecology and all aspects of evolutionary biology. How to apply for sponsorship Please address
-
We're looking for a proactive and reliable Facilities Assistant to help ensure the smooth day-to-day operation of our buildings and support the wider academic community. Working as part of
-
Assistant will, in particular, support ongoing efforts within the HEAT project (including updating the framework as further EU guidance gets released and building a parallel framework for engaging civil
-
datasets. This includes the processing and quality control of whole-genome sequencing data, methylation data, and RNA-sequencing data, as well as the development and application of computational methods