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Field
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+ students across our system, and awarding nearly 12,000 degrees each year. We are one team comprised of individuals who are committed to excellence, curiosity and innovation. We are transforming lives and
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detection, and uncertainty assessment Design and evaluate robust data pipelines for industrial monitoring systems Participate in project meetings, workshops, and collaboration activities within the GreenFab
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at Therapeutic Drug Monitoring (TDM). Within the framework of our European Innovation Council (EIC) grant ‘Automated Clinical Platform for Personalized Antibiotherapy in Critical Units Based on Surface Enhancement
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digital health and multi-agentic coordination. This role requires the development of self-learning artificial intelligence models tailored for dynamic healthcare environments. The candidate designs and
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learning, deep learning, and LLM-based methods to multimodal clinical datasets e.g. EHR, imaging, omics, sensor data Designing and implementing NLP pipelines for clinical text processing, semantic annotation
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in peer‑reviewed journals, present at scientific meetings, assist with grant preparation, and independently pursue external funding. Core responsibilities Research: Design, execute, and troubleshoot
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implementation of complex coding schemes (e.g., participation & belonging, inclusion, recognition, justice) in NLP pipelines: from guidelines/definitions to label formats to model and evaluation design. Setting up
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Division) RANK/TITLE: Research Assistant Professor (appointment stream) 1. Scientific Responsibilities • Lead data analysis and interpretation to produce reliable and well-supported findings. • Plan
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nutrients with the soil through adaptive root and fungal networks. The successful candidate will design and implement a modelling framework based on Partial Differential Equations (PDEs) to represent
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of innovation and our motivated, international teams, we are working to position AIT as Austria's leading research institution at the highest international level and to make a positive contribution to the economy