291 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "ASNR" positions at University of Glasgow
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, e.g. as part of a Master or doctoral programme, or in a relevant professional context. E6 Proven ability to deliver quality outputs in a timely and efficient manner. Desirable: F1 Experience researching
-
record of world-class research. For further details, see https://www.gla.ac.uk/explore/jobs/appointments/visitingprof/ The University’s first Chair of Mathematics was established in1691. Today, the School
-
41 days of leave for full time staff, pension - pensions handbook https://www.gla.ac.uk/myglasgow/payandpensions/pensions/, benefits and discount packages. 3 A flexible approach to working. 4 A
-
is celebrated and shared. 2 An excellent employment package with generous terms and conditions including 41 days of leave for full time staff, pension - pensions handbook https://www.gla.ac.uk
-
bespoke development programme with the guidance of Prof. Solana and the Research Support Office to identify the most relevant learning and development opportunities available at the University. Moreover
-
sourcing of rare cells blood Brain Barrier mesenchymal stem cell niche haematopoietic stem cell niche See Glasgow Biomaterials Seminar for an idea about recent and current projects. Our PhD programme
-
the Skilled Worker visa route if tradeable points can be used under the Skilled Worker visa rules. For more information please visit: https://www.gov.uk/skilled-worker-visa . As a valued member of our team, you
-
and shared. 2 An excellent employment package with generous terms and conditions including 41 days of leave for full time staff, pension - pensions handbook https://www.gla.ac.uk/myglasgow
-
time staff, pension - pensions handbook https://www.gla.ac.uk/myglasgow/payandpensions/pensions/, benefits and discount packages. 3 A flexible approach to working. 4 A commitment to support your health
-
from transcriptomic and epigenetic sequencing and other experimental approaches. 4. To develop and apply innovative computational approaches for the analysis of large sequence datasets from next