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machine learning methods. The successful candidate will lead an independent research project dedicated to identifying abnormal behavior and neuronal activities in circuits of murine models of 22q11.2 and
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machine learning methods in the context of biological systems Experience with programming (e.g., Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted
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to systematically understand cancer biology, identify diagnostic and prognostic biomarkers, and improve cancer therapy. Projects will involve the development of AI solutions, including machine learning, deep learning
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agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 17.11.2025 Reference no.: 4674 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom
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, machine-learning, and protein design to develop novel transposon-based genome-editing tools. Located on the 6th floor of the new Inspiration4 Advanced Research Center (opened in 2021), the Kellogg lab leads
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, mathematics, physics, remote sensing and machine learning. Experience and skills · Strong interest in modelling, model-data integration, and remote sensing data analysis. · Knowledge of programming, remote
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. About the Role Do you love science but feel that a career at the bench isn’t enough to sate your desire to learn more about scientific research? Do you enjoy reading papers outside your chosen area of
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looking for a dedicated PhD student to join our team. Find more information about the Strategic Management area and its members here: http://strategy.univie.ac.at What you will be doing: In
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’ . Prof Jaime Martín Pérez and Dr Xabier Rodríguez Martínez at University of A Coruña, Spain. One research project available on the topic: ‘Experimental and machine-learning study of the thermodynamics and
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apply a fast and efficient forest trait mapping and monitoring method based on the Invertible Forest Reflectance Model. A machine learning / deep learning framework will be explored and developed