, simulations, machine learning and analytical calculations with a strong focus on parameters describing oceanic ecosystems... hypotheses on the effect of flow fields on coevolution, supplemented by analytical calculations and machine learning. In a second...
interdisciplinary project that involves in silico 3D protein structure modelling and machine learning methods, working with genetic (e.g... of supervisors with experience in genetics, bioinformatics and protein structure, who provide complementary expertise: - Exeter...
fixing and staining. Machine learning will be central to converting these complex spectral image data into simple, actionable... (Biosciences) at Exeter that mimic the conditions linked to nephrocalcinosis to generate kidney tissue samples from known origins...
image datasets including OCTA and CCM images for diagnosis of diabetic neuropathy. Machine Learning: We will develop... artificial intelligence (AI), machine learning (ML), deep learning (DL) and Data science methods for medical image analysis...
, across intact, burned and degraded forest. Data fusion and machine learning: combine in-situ sensor data with airborne... and spaceborne Lidar (e.g. GEDI) and optical satellite data, using machine learning to calibrate low cost sensors and correct...
The aim of the project is to develop explainable and trustworthy machine-learning models for the early detection... Linguistics, Jul. 2020, pp. 4443-4458. doi: 10.18653/v1/2020.acl-main.408. Location University of Exeter, Streatham Campus...
- with scope for machine-learning approaches to the vectorial inverse problem. Why it matters: collagen's 3D architecture sets... Physics department at the University of Exeter. The supervision team includes Prof Dave Phillips (structured light) and Dr...
cannot fully resolve. Current machine-learning approaches are also largely site-specific or used to post-process NWP, leaving... classification, and prediction of event onset and cessation. WP3 Linking machine learning model representations with atmospheric...
Department of Engineering at the Penryn Campus, Cornwall to assist in the development of a novel, observation-based machine... propagation techniques in Python within a 3D machine learning forecasting pipeline, developing adaptive spatial sampling...
for digital biomarker discovery. Explainable machine learning models, including Random Forests, XGBoost and LightGBM...