Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
: The doctoral candidate will perform computational analysis of a combination of multi-omics data from the gut microbiomes of patients with Alzheimer's disease or Parkinson's disease. The candidate will use state
-
garments into recycle, reuse, and manual-review streams; this PhD project tackles the core challenge of designing and optimizing a high-throughput hyperspectral imaging system, fused with complementary
-
BCAST Applications are invited for one full-time EPSRC Industrial CASE (ICASE) PhD studentship for the project “Development of high performance and highly impurity-tolerant recycled Al alloys
-
duration: Initial appointment will be for six months (due to grant funding limitations), with the possibility of reappointment. Should the hiring unit propose reappointment; a review to assess performance
-
include high entropy carbides, nitrides, borides, oxides, and mixed components for a variety of applications. • Assist in performing a variety of testing and analytical materials characterization using
-
required to perform the following tasks: Carrying out research in the predefined areas Disseminating results through scientific publications Communicate and interact with the partner's team to collect
-
/education/admission-and-guidance. Applicants must possess skills in written and spoken academic English at a high level. If deemed necessary, the department may request that applicants document their language
-
is available immediately, a later starting point is also possible. YOUR TASKS Perform molecular biology techniques, specifically molecular cloning techniques (e.g., Gibson assembly, restriction enzyme
-
engineering, and hyperparameter tuning to produce resilient and high-performing models. · PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field Strong track record
-
to produce resilient and high-performing models. · PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field Strong track record of applying ML in academic or industry