567 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" "IFM" "IFM" positions at University of Oxford
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
- Medical Sciences
- Economics
- Computer Science
- Biology
- Business
- Psychology
- Engineering
- Materials Science
- Chemistry
- Mathematics
- Humanities
- Science
- Education
- Earth Sciences
- Linguistics
- Environment
- Social Sciences
- Sports and Recreation
- Philosophy
- Physics
- Arts and Literature
- Electrical Engineering
- Law
- 13 more »
- « less
-
information about the university and how to apply. The post is full time (part time at minimum 0.4 FTE may be considered), for a fixed term of until 30th September 2030 in the first instance. Only applications
-
requirements applicable to the collection and use of human tissue in clinical research, data protection (GDPR), and ethical standards, and proficiency in LIMS and Quality Management Software. You will
-
clubs • Opportunities for hybrid working (typically 60% of working hours on-site and 40% remotely) More information about working at the School can be found on our jobs page . About the role
-
develop new scientific techniques, and test hypotheses and analyse scientific data from a variety of sources. You will contribute ideas for new research projects, develop ideas for generating research
-
scientific results clearly within a multidisciplinary research team. Experience working at containment level 2/3, with hard X-ray nanoprobe technology, or with data analysis tools such as R, Python, FIJI
-
organisation You will have excellent attention to detail in recording and communicating information and hold excellent skills in Office IT systems, including Microsoft Outlook (both email and calendar management
-
describe how you meet each of the selection criteria listed in the job description. Click here for information and advice on writing an effective Supporting Statement. To discuss the post in more detail
-
with disabilities as we understand that these groups face significant barriers to education. For more information about these scholarships, including the range of eligible courses, please visit
-
of the Department. The research activities of the department fall under eight broad headings, though there is much overlap in practice: Information Engineering (Robotics, Computer Vision and Machine Learning
-
loan scheme and discounted bus travel and Season Ticket travel loans Membership to a variety of social and sports clubs Opportunities for remote working. More information about working at the School can