233 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at University of Glasgow
Sort by
Refine Your Search
-
Listed
-
Field
-
, Salmo salar L., in Tasmania. Journal of Fish Diseases 22: 433-443. https://doi.org/10.1046/j.1365-2761.1999.00175.x Rodger H (2013) Amoebic gill disease (AGD) in farmed salmon (Salmo salar) in Europe
-
Information regarding School and University For further information regarding Glasgow and the University: http://www.gla.ac.uk/visitors/ For further information regarding the College of Medical, Veterinary and
-
We are focused on fostering education and training in research to develop microenvironments to investigate and instruct cellular behaviour including, but not solely, stem cell differentiation. Our
-
cortex. Neurobiology of Learning and Memory https://doi.org/10.1016/j.nlm.2021.107525 Defining the sensory neuron response to nerve injury Supervisors: Dr Greg Weir A PhD position is available in
-
to the development and implementation of standardised tools, templates, and systems to enhance project delivery and continuous improvement and identify opportunities for process enhancement, drawing on lessons learned
-
ability as appropriate. C3. Highly motivated, ability to use initiative and quick to learn new techniques. C4. Excellent communication skills (oral and written), including public presentations and ability
-
. Please note that this post may be eligible to be sponsored under the Skilled Worker visa route if tradeable points can be used under the Skilled Worker visa rules. For more information please visit: https
-
terms and conditions including 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
-
-depth technical knowledge, solutions, and advice to service users to maximise the learning experience and/or contribute to the delivery of research objectives. 3. Develop, create, and test new equipment
-
on real-world health data analysis — including study design, data wrangling, phenotype development, data integration, and statistical and machine-learning methods — to accelerate project delivery