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Theory and Machine Learning, can easily integrate into our team, independently contribute to current research, and work with responsibility for results. The research project is a collaboration between the
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Agency (ARIA). The PROTECT project (Probabilistic Forecasting of Climate Tipping Points) brings together cutting-edge AI, statistical, and machine learning techniques with climate modelling, aiming
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, Spain and Norway. The project runs until early 2028 and investigates the potential role of performance-based arts in understanding how coastal communities learn about and respond to ecological crises
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no.: 4067 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate about groundbreaking international
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biology, microbiology or biochemistry Experience in Archaea research, including genomics and CRISPR-Cas systems Proactive and eager to learn new methods and topics Strong collaborative attitude in the lab
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. Responsibilities include working with digital signal processing, advanced filtering techniques, dynamic feature extraction, time-domain and frequency-domain analysis, signal fusion and machine learning to enhance
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execute research activities, communicate effectively, and work in a team. Depending on interest, the post-holder may have opportunities to teach in a College or demonstrate in the undergraduate laboratories
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out research work, analytically and numerically, jointly with the co-investigator and the project research team in the area of inference, information build-up and learning methods in the general context
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willing to learn new methods and skills and have excellent communication skills. See the job description for the full list of selection criteria. Informal enquiries should be directed to Dr Jani R Bolla
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skills, proficiency in quantitative analysis of large datasets and working with pre-trained machine learning models is desirable but not essential To apply online for this vacancy and to view further