53 computer-science-programming-languages-"FEMTO-ST"-"FEMTO-ST" positions at University of East Anglia in United Kingdom
Sort by
Refine Your Search
-
Requirements: At least UK equivalence Bachelors (Honours) 2:1. English Language requirement (Faculty of Science equivalent: IELTS 6.5 overall, 6 in each category). Acceptable first degree: environmental sciences
-
programming skills in Python/MATLAB, and an interest in digital twin technologies, cybersecurity and machine learning. Entry Requirements Acceptable first degree: Computer Science or related disciplines
-
: environmental monitoring, AI, computer vision or multispectral imaging. Entry Requirements At least UK equivalence Bachelors (Honours) 2:1. English Language requirement (Faculty of Science equivalent: IELTS 6.5
-
metagenomic datasets. This project provides an exciting opportunity to discover new bioactive molecules and develop skills across informatics, biology and chemistry. Applications are welcomed from students who
-
decisions about personalised phage therapy. The expected workload is mainly computational, using bioinformatics analyses to investigate the microbiome and phageome with supporting laboratory work for DNA
-
NERC. Person Specification We seek an enthusiastic individual with a degree in geoscience, physical sciences, or computer science. Numerical literacy and experience with coding tools (Matlab or Python
-
at the John Innes Centre, providing opportunities to develop extensive skills in a breadth of areas, including field surveys, plant pathology, molecular biology, and computational biology. Additionally, you
-
confined battery geometries. Advanced modelling—including computational fluid dynamics (CFD) and transient thermal analysis—is required to accurately capture heat flux distributions, temperature uniformity
-
of short-axis MR image sequences. Training You will be based at the Vision Computing Lab within the School of Computing Sciences, which specializes in deep learning for medical image analysis and neural
-
, and edge computing, AASs are evolving into smart, interconnected solutions for addressing the dynamic challenges of modern cities. This project investigates how to coordinate these multifunctional