71 parallel-processing Postdoctoral positions at University of Oxford in United Kingdom
Sort by
Refine Your Search
-
immunogenicity experiments, murine aerosol challenge experiments, administration of vaccines and drugs, monitoring of in vivo, collection and processing of samples, etc. You will be involved in setting up assays
-
great place to work. Application Process Applications for this vacancy are to be made online via www.recruit.ox.ac.uk and Vacancy ID 179558 . You will be required to upload your curriculum vitae and a
-
England in recognition of the strong connection between Freemasonry and Enlightenment values. Application process You will be required to upload a CV and a supporting statement explaining why you consider
-
will have three responsibilities: - (1) studies of composite materials for a beam-facing RF shield. (2) contributions to the operation and exploitation of the Timepix4 testbeam. (3) simulation work
-
migration, nanoscale assembly, or complex charge-screening processes are still poorly understood despite their critical impact on electronic properties and device performance. The project will provide a
-
communication skills, with the ability to write for publication and present research proposals and results. Application Process Applications for this vacancy are to be made online via www.recruit.ox.ac.uk and
-
opportunities for these diseases. The project will use a wide variety of data processing, data analysis, and statistical techniques to functional genomic data (ChIP-seq, RNA-seq, ATAC-seq, co-accessibility
-
demonstrable experience, ability and practical success in end-to-end analysis of bulk, single-cell and/or spatial transcriptomic or proteomic datasets, including raw sequencing data processing, quality control
-
should be an expert in at least one of those techniques and keen to learn the others. You also should have a deep interest in molecular mechanisms underlying biological processes and – if not experience
-
collaboration with the Translational Gastroenterology Unit (TGU) and the Ludwig Institute of Cancer Research (LICR) we aim to develop a computer guided endoscopy image recognition system that will support