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cloning, managing repositories, branching, and implementing collaborative and reproducible data analysis workflows. Experience in applying machine learning or AI approaches to genomics data (e.g. BLUP
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limited to) molecular and cellular imaging, synthetic biology and computational and machine learning approaches. The predominant criteria for appointment in the University Tenure Line are a major commitment
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experience in AI teaching We understand AI very broadly – and adequate experience would include most topics in modern statistics and topics like Bayesian Machine Learning and Simulation Based Inference (a past
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, etc.), and data-driven methods (optimisation, generative AI, agent-based modelling, machine learning). Our work provides decision support for policy makers, industry stakeholders, and researchers by
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to this search are candidates with expertise ranging from NeuroAI, machine learning, and artificial intelligence to brain-body interactions, including cancer neuro and neurodegenerative disorders, and systems and
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meet the specialized behavioral demands of different animals. More information about the lab and their work can be found by visiting https://sarvestanilab.com/ About the Postdoctoral Scientist role: We
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in medicine and other study programmes and graduate initiatives in which the Faculty of Medicine is involved is expected. Beyond the core research area, the appointee will also teach in all degree
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with experience in ligand discovery. Our research group is focused on developing state-of-the-art computational methods for ligand/drug discovery, using machine learning, high-performance/cloud computing
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, Biological Anthropology, Artificial Intelligence, Neurophilosophy, Neuroaesthetics,etc.) ○ Brain disorders(Psychiatry, Neurology, Rehabilitation Medicine, etc.) ○ Brain Engineering(Brain-machine interface
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Professor, or Full Professor) in the area of data science and artificial intelligence for materials design and innovation. We seek candidates whose research focuses on the development of machine learning