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control subjects based on diffusion MRI images and functional MRI responses. Duties include: Developing machine-learning and/or deep learning pipelines for classifying patients of optic neuropathies and
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the intersection of control theory, robotics, artificial intelligence, and signal processing, and is a key enabler of future intelligent infrastructure.This project will focus on the development of novel control
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such as the NEPS. Potential research areas include (but are not limited to): Item response modeling of achievement tests Analysis of process data (e.g., response times) to enhance competence measurements
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and their by-products. o Monitor and control the migration of radionuclides and heavy metals throughout industrial processes. 2. Optimization of Industrial Processes: o Utilize nuclear
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-fast, low-energy optical interconnects in collaboration with Microsoft and two Finnish SMEs. The project focuses on development new optomechanical control methods for macroscopic quantum states of light
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to the online application process should be referred to recruitment@ucc.ie quoting the job-title and project name. Candidates should apply, in confidence, before 12 noon (Irish Local Time) on Friday 27th June
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day/week) to support aspects of a process evaluation work package for a multicentre randomised controlled trial of AI-assisted ultrasound technology in obstetric screening. Supported by an experienced
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Molecular dynamics of phase separation-controlled gene transcriptionAcute myeloid leukemia (AML) is a genetic disease in which gene mutations accumulate in hematopoietic stem cells thereby disturbing
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the objectives more precise; working on the individual PhD study project with its focus on the methodological contributions as well as on empirical data processing for the case study analysis in collaboration with
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regression methods (e.g., fixed-effects growth curve models, staggered difference-in-differences) to analyse post-divorce economic trajectories. Synthetic control methods may be employed to establish causal