553 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at University of Sheffield
Sort by
Refine Your Search
-
Listed
-
Field
-
: Please see this link for information on how to apply: https://www.sheffield.ac.uk/cbe/postgraduate/phd/how-apply. Please include the name of your proposed supervisor and the title of the PhD project within
-
simulation. A successful candidate will join a well-funded and highly active research group with a worldwide reputation for excellence (https://ldsd.group.shef.ac.uk/research/polaritons/). The group possesses
-
Automatization and Digital Enhancement of Characterisation Techniques: Joining the Dots between AI, Machine Learning and Materials Advances
-
massive farming data over long-time scales. These long-term farming data brings more opportunities on leveraging emerging machine learning methods to examine the effects of multiple factors on crop growth
-
students only. Intakes are usually October and March annually. NB The University has some scholarships under competition each year. More details can be found - https://www.sheffield.ac.uk/postgraduate/phd
-
annually. NB The University has some scholarships under competition each year. More details can be found - https://www.sheffield.ac.uk/postgraduate/phd/scholarships View DetailsEmail EnquiryApply Online
-
resulting properties. Prog Mater Sci 2015;72:61–99. https://doi.org/10.1016/j.pmatsci.2015.01.004. [2] Kanhere S V., Bermudez V, Ogale AA. Chapter 11 - Carbon and glass fiber reinforced thermoplastic matrix
-
Generalisable, Physics-Aware Machine Learning for Gas Turbine Engines
-
are usually October and March annually. NB The University has some scholarships under competition each year. More details can be found - https://www.sheffield.ac.uk/postgraduate/phd/scholarships View
-
initio spectroscopy of a range of lanthanide compounds. grant.hill@sheffield.ac.uk https://grant-hill.sites.sheffield.ac.uk Subject Area: theoretical chemistry, computational chemistry, lanthanide