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, as well as learn how to perform robust in silico analysis of data (training will be provided by senior lab members, collaborators, or experts in the Institute core facilities). The candidate will
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will have the opportunity to collaborate closely with external partners, including organisations in digital learning and the charity sector. The PhD position is fully funded for the duration of four
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Join the Responsible Machine Learning (ML) Group at the Faculty of Computer Science. Led by Prof. Dr. Martin Pawelczyk, who recently joined the University of Vienna from Harvard University, our research
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Auditory SCEnes in Humans and Machines), an ERC Synergy project conducted in collaboration with Dr. Bruno Giordano (CNRS, Marseille). NASCE brings together cognitive neuroscience, advanced neuroimaging
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learn new things - A strong programmer who’s comfortable with Python - An open-minded thinker and precise communicator who enjoys collaborating with colleagues from a wide range of backgrounds and areas
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be a prerequisite for the success of individual organizations. In such a setting, any firm may compete with larger and well-established ones by joining forces through various forms of collaboration and
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machine learning and physics to recover nanoscale information from imperfect images? Modern computer chips are built with features only a few nanometers across, yet manufacturers need to measure these
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project in a collaborative research environment and to gain experience in a broad range of state-of-the-art experimental approaches. INFORMATION ABOUT THE RESEARCH PROJECT α2δ proteins are abundantly
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focus on combining simulations using spatial-genetic-demographic individual based models (e.g., using the software SLiM), machine learning approaches, and genomic data to estimate larval dispersal
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Collaborating Faculty/Team: Multidisciplinary team across the Faculty of Medicine, Nursing and Health Sciences, the Faculty of Information Technology, and Monash Malaysia Remuneration: Fully funded PhD