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multidisciplinary team of experienced researchers, closely collaborating with another PhD candidate who will focus on the data science, models and machine-learning aspects of the project. PhD researcher position in
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of metabolism, membrane transport, cellular regulation, structural systems biology, machine learning and disease mechanisms. These positions are embedded in the transition from CeMM in Vienna to the newly founded
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intelligence, or related areas Experience with large language models, machine learning systems, software testing, program analysis, requirements analysis, or software quality assurance Strong programming skills
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experience in modern statistical methods, statistical and machine learning, and AI is advantageous Excellent knowledge of SPSS; knowledge of STATA and/or R and/or Python is an advantage. Interest in mixed
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Application: We are looking forward to receiving your online application. The full, legally binding call for application (in German) including the salary can be found here: https://lfuonline.uibk.ac.at/public
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, in teacher education (bachelor program and master program), in a faculties-arching master program in "Environmental Sciences", and on doctoral level. Details on the Department can be access on http
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science Artificial intelligence, machine learning, and data science Clinical and biomedical research You will have access to state‑of‑the‑art analytical platforms, computational infrastructure, and a
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of AI/ML into application and system software. Join a high-impact research team and help shape the next generation of dependable, efficient embedded systems. Learn more and get in touch: https
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-based data acquisition, programming, human-computer interaction and VR development Interest in digital health and wellbeing, including digital biomarkers, simulation extended reality (XR), training and
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, species-distribution data, ecosystem-condition data, field measurements, or other environmental datasets, using statistical, machine-learning, process-based, or hybrid modelling approaches to analyze