Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
different approaches, the most prevalent is polygraph testing which infers deception through the measurement and analysis of physiological responses (e.g., blood pressure, electrodermal activity). However
-
, Urban Studies, Urban Analytics, Environmental Science, Computer Science, Architecture, or an appropriate master’s degree. Familiarity with Python/R programming, GIS and spatial analysis (e.g., ArcGIS
-
. This project will help to make a substantial difference towards automated drug discovery and helping to reduce suffering worldwide. This joint studentship is part of the strategic global partnership between
-
over different length-scales as well as linking simulations and experiments, perhaps you are our new PhD student. The aim is to predict the impact of external cyclic loads (during real-life loading
-
of different medial temporal lobe areas such as CA1, CA3, DG, MEC, LEC, PrC, POR to memory in health, aging and in animal models of amnesia. Memory for time, space and episodes as well as the consolidation and
-
for motivated individuals skilled in computer science/computational biology/bioinformatics with the desire to make a difference for people suffering from mental health problems. A Masters Degree in (Bio
-
) develop novel performance metrics combining accuracy and explainability, to be tested across different AI model types; (2) devise new algorithms for selecting models optimised for holistic performance
-
those using advanced AI, often fail to capture the nuanced clinical and social factors driving these differences, leading to inequitable health outcomes. This is largely because they struggle to leverage
-
systems Experience in the fields of surface catalysis, electrochemistry or thin-film deposition Experience in programming in Python Experience in handling large spectroscopy datasets Experience in assisting
-
streams across the continent, multiple differently coloured catfish communities coexist, forming diverse mimicry “rings.” This project will use whole-genome resequencing to tackle three key questions: Which