Sort by
Refine Your Search
-
infectious disease epidemiology and mathematical modelling in Biology and Medicine. Experience in parameter estimation, knowledge of Bayesian methods and computer programming skills would be an advantage. Good
-
deterministic inputs, often using “best guess” values. These methods miss the probabilistic nature of input parameters, thereby underestimating unstart risks and limiting confidence in scramjet operability
-
autonomous by embedding machine learning algorithms to search through different reaction parameters Person Specification Candidates should have been awarded, or expect to achieve, EITHER: A Bachelors degree in
-
electrical and thermal modelling, parameter/state estimation, diagnostics/prognostics and system control. It is difficult to be unaware of the efforts going into the development of low-carbon alternatives
-
on cutting-edge topics such as: Data-efficient learning Explainable AI Memory-efficient deep learning Energy-efficient deep learning Parameter-efficient fine-tuning of foundational models The PhD studentship
-
expands—driven by technological progress, regulatory alignment, and increasing demand, with an estimated market value of ~$719 billion by 2029—persistent issues like soft tissue erosion and inflammatory
-
gas turbine sensor data, if available, will be utilized to validate the developed digital twin in order to estimate non-measurable health parameters of major gas path components, including compressors
-
and Medicine. Experience in parameter estimation, knowledge of Bayesian methods and computer programming skills would be an advantage. Good communication skills are also essential. This award is open to
-
suicidal behaviour frequently co-occur (O’Connor et al., 2018), though it is acknowledged that establishing temporal relationships between constructs is necessary as it is not yet understood. It is estimated
-
of representative failure models for gear failures causes difficulties in their useful lifetime prediction. Critical operational parameters such as loading, speed and lubrication affect the physics of gear meshing