Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
AHRC Collections & Communities in the East of England Collaborative Doctoral Partnership (CDP) PhD studentship: Reimagining Caribbean Collections: Unveiling Histories of Identity and Wellbeing
-
swarm learning experiments, and provide technical input to establish local machine learning capabilities. The post offers opportunities to work closely with academic and industry partners, both within and
-
Applications are invited for the Sigrid Rausing MIASU PhD Studentship in the Social Anthropology of Inner Asia. The studentship, funded by a generous donation from the Sigrid Rausing Trust, will
-
quantitative background. Demonstrable interest and experience in theoretical neuroscience. Obtained a PhD in computational neuroscience, physics, mathematics, computer science, machine learning or a related
-
Applications are invited for a fully-funded 3-year PhD studentship based in the Department of Clinical Neurosciences at the University of Cambridge under the supervision of Dr Topun Austin starting
-
skills field, ideally at postgraduate or professional levels. - A solid grounding in applied data science, including statistical methods, machine learning, and Programming. - Experience delivering
-
experience in spatial analysis and/or machine learning methods, and an interest in applying these tools to urban and housing policy questions. The Fellow should demonstrate potential for producing high-quality
-
. Familiarity with standard design verification (DV) procedures and continuous integration (CI) setups would be beneficial. Knowledge of machine learning workloads and the design of machine-learning accelerators
-
. Education to PhD level in a relevant subject is required. Knowledge of techniques in cell and molecular biology, neural development, or neurodegeneration is essential although Knowledge of the DNA Damage
-
, engineering and mathematics. You would be working with world-leading computer science researchers in computer architecture, systems, cybersecurity, machine learning and many other topic, each with interesting