685 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" uni jobs at University of Sheffield
Sort by
Refine Your Search
-
Listed
-
Field
-
support a process and outcomes evaluation of the Public Health Intervention Responsive Studies Teams (PHIRST) scheme (https://phirst.nihr.ac.uk/) and is funded by the National Institute for Health Research
-
BBSRC Yorkshire Bioscience DLA Programme: How does the Oestrogen receptor globally regulate transcription across the genome during development? School of Biosciences PhD Research Project Competition
-
Masters, or a Distinction at Masters level with any undergraduate degree (or international equivalents) in Computer Science, Engineering, Physics, or Mathematics and Statistics, we would like to hear from
-
backgrounds with a degree in molecular biology/bioinformatics and a broad interest in epigenetics and genome informatics. Experience with programming and sequencing data analysis is highly desirable
-
statement when you apply. Criteria Essential or desirable Stage(s) assessed at Hold or be close to completing a PhD in neural engineering, neuroscience, biomedical engineering, computational modelling or a
-
ACCE+ DLA Programme: The inheritance of phenotypic plasticity in a wild mammal School of Biosciences PhD Research Project Competition Funded Students Worldwide Prof J Slate, Dr Nicola Nadeau, Prof
-
these gaps by combining quantitative, computational, and implementation-focused approaches. The project has two interconnected strands. The first strand focuses on evaluating the feasibility and acceptability
-
under competition each year. More details can be found - https://www.sheffield.ac.uk/postgraduate/phd/scholarships References Vaci, N., Edelsbrunner, P., Stern, E., Neubauer, A., Bilalić, M., & Grabner, R
-
candidates to have a First-class or 2:1 MEng or and MSc with merit (over 60%) in a relevant area i.e. Chemical Engineering, Process Engineering, Chemistry, Materials Science, Geoscience etc. Candidates
-
BBSRC Yorkshire Bioscience DLA Programme: Predicting pathogen evolution: using experimental evolution to understand the impact of phage therapy on Clostridioides difficile School of Biosciences PhD