159 coding-"https:"-"Prof"-"CMU-Portugal-Program---FCT" "https:" "https:" "https:" "https:" "FEMTO ST" positions at University of Oxford
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
systems. Demonstrable ability to write code in R and/or Python in such a way that data analysis can be streamlined is essential as is the ability to apply fundamental data science techniques. Experience
-
Earth Centre for Doctoral Training (CDT) in AI for the Environment. (https://intelligent-earth.ox.ac.uk/home) Applications for this vacancy are to be made online. You will be required to upload a CV and
-
colleges, and discounts at University museums. See https://hr.admin.ox.ac.uk/staff-benefits Application Process Applications for this vacancy are to be made online. You will be required to upload a
-
opportunity to pursue an independent programme of research in this critical area and to join Oxford University’s Tuberculosis Grand Challenge (https://www.ineosoxford.ox.ac.uk/ioi-grand-challenge-tuberculosis
-
a PhD/DPhil, strong analytical and coding skills, and a passion for interdisciplinary collaboration. If you have experience in modelling, data science, or heritage science — and a drive to turn
-
networks are applied genomics, fluorescent microscopy and proteomics for cell profiling. The project is already ongoing, and you will need to use the code and tools that have already been developed by
-
statement, CV and the details of two referees as part of your online application. Please see the University pages on the application process at https://www.jobs.ox.ac.uk/application-process The closing date
-
this role. See guidance at https://www.jobs.ox.ac.uk/cv-and-supporting-statement . The closing date for applications is 12.00 noon on Tuesday 6th January 2026. Only applications submitted by this time will
-
include a CV, Supporting Statement/Cover Letter. For further guidance and support, please visit https://www.jobs.ox.ac.uk/how-to-apply. Any technical questions related to this vacancy can be sent
-
, please contact Professor Keith Channon: keith.channon@cardiov.ox.ac.uk or cvm_personnel@cardiov.ox.ac.uk. For more information about working at the Department, see https://www.rdm.ox.ac.uk/ The University