Sort by
Refine Your Search
-
the flexibility of neural methods. If successful, the work has the potential to advance applications such as automated theorem proving, knowledge-graph inference, and causal analysis. The Department of Computing
-
. Research will have a strong focus on computational analysis or predictive modelling of pathogen biology or host-microbe systems for which multidimensional, genome-scale experimental data are now available or
-
should have documented background in the following areas: Electrodynamics Data analysis for scientific applications Programming (e.g., Matlab, Python, C, C++) for scientific applications Previous
-
of Mathematics and Mathematical Statistics, alongside Computational Mathematics, Mathematical Statistics, and Analysis & Modelling. The Discrete Mathematics group consists of 10 faculty members whose research
-
analysis. Depending on the interests of the PhD student, there will be opportunities to incorporate isotope tracing, multivariate trait analysis, and evolutionary or phylogenetic approaches. The project is
-
(see below) are also encouraged to apply. Proficient in at least one programming language, preferably Python or R. Experience in any of the following areas: large scale sequence analysis, microbial
-
student who will work experimentally with microbial and human DNA sequencing, including associated analyses using standard bioinformatics methods. The project will also involve statistical analysis in R
-
of pathogens, their interactions with hosts and the environment, and how they are transmitted through populations. Research will have a strong focus on computational analysis or predictive modelling of pathogen
-
analyses and document analysis. Depending on the sub-projects chosen, the research may also combine interviews with quantitative analysis. The doctoral student will become part of a leading research
-
sciences; Have experience in programming and/or quantitative data analysis; A keen interest in working across scientific disciplines, including physics, chemistry and biology; Excellent interpersonal and