Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
treatment processes, and risk management? The Doctoral Researcher will receive interdisciplinary training across microbiology (culture-based and molecular, e.g., next-generation sequencing, bioinformatics
-
pseudorange correction through multiobjective optimisation. The research will explore multiple classes of constraints that will be embedded as objectives: Internal pseudorange consistency: ensuring
-
genome sequences of the fall armyworm moth. This will involve research to tease apart the potential role of transposons in host evolution, using methods in transposon detection, annotation and analysis
-
. The framework consists of three key technical innovations. First, a multimodal encoder will be developed to project heterogeneous network data (e.g., time-series, sequences, graphs) into a token-like embedding
-
PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
. WP1: Wireless-aware Data Representations and Embedding (Months 1–12): This WP will first design a structured data representation approach to encode spectrum information into token sequences compatible
-
the evolutionary forces maintaining genetic variation in disease susceptibility in wild populations of bank voles (Myodes glareolus). By combining whole-genome re-sequencing of host populations with systematic
-
the doctoral student in alignment with Interpine Group Ltd’s priorities. Method developed will be compared systematically to assess trade-offs in accuracy, interpretability, and computational efficiency
-
, and opportunities to embed principles of climate justice. Particular attention will be given to ensuring that deployment strategies align with community needs, support rural resilience, and promote
-
has focused primarily on selfish X fecundity effects, alongside roles for selfish chromosomes in driving speciation. However, these chromosomes commonly bear multiple inversions to suppress
-
observations – to develop statistical tools that integrate multiple data streams into indicators of individual health. The project will interface directly with management agencies (NOAA, WDFW, DFO), and the