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processes in Australia. The second will involve a climate or biodiversity deliberative assembly based in Europe. Your key responsibilities will be to: document and analyse existing models of MtHR and what is
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epidemiological study designs and biostatistical modelling approaches to a broad range of health and environmental data. The team address policy relevant research with a focus on translating the results
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We are seeking a Research Fellow to perform research on deployment of machine-learned models for health analytics on distributed IoT/edge/cloud systems using transprecise computing and contribute
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examining modulation of the tumor microenvironment and obesity-related colorectal cancer (CRC) disease progression using tissue-engineered patient derived xenograft (PDX) CRC models validated through
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(e.g., hardware trojans, side-channel exposure). Co-develop testbenches for hardware simulations and chiplet-level threat modelling. Collaborate closely with FPGA and IC prototyping teams to deploy AI
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model of flare vs remission with a 50% relapse rate. Initial data analysis has taken place using the 10x Chromium single cell sequencing identifying putative cellular subpopulations that determine
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models for children. College / Directorate College of Engineering, Design & Physical Sciences Department Department of Mechanical and Aerospace Engineering Full Time / Part Time Full Time Position Title
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, in particular, collecting and analysing AI-assisted human choices and deliberation data. You will be excited to explore the opportunities and risks of large language models for AI assistance of human
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prediction models in Neurology using EEG data via Deep Learning (DL) techniques. In this prospective and longitudinal study, the outcome of interest is cognition over time. This position will be under
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to gender—and demonstrated expertise in advanced statistical methods (e.g., multilevel modelling). The successful candidate will work closely with the Principal Investigator, Dr. Verena Klein, a PhD student