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Science at MBZUAI focuses on the rigorous statistical and probabilistic foundations of machine learning and data science. We emphasize computational methods for large-scale data and scalable inference
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research Teach courses at bachelor and master level in relevant fields such as artificial intelligence, machine learning, neural networks, computer vision or image analysis and coordinate the teaching
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, computer science, or related fields. Demonstrated hands-on experience with machine learning techniques. Strong programming skills (Python preferred). Experience analyzing time-series data, preferably from
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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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such as causal inference or machine learning or complex panel data analysis. We are seeking excellent applicants with an international research portfolio and network. The teaching portfolio includes courses
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, CNRS, I3S, Sophia-Antipolis, France) Collaboration: Luca Calatroni (Luca.calatroni@unige.it), Machine learning Genoa Center, Italy. Context and Post-doc objectives Conventional optical microscopy
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scientific research, both within and beyond your speciality and across the wider field of statistics and machine learning. •Excellent communication and interpersonal skills and be fluent in English (written
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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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disorders. Expertise in human immunology, machine learning/AI approaches, and novel functional genomics technologies are also highly valued. The primary criteria for selection will be excellence and
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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