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The postdoctoral researcher will lead the development of computational methods for aligning cortical organisation across species using transcriptomic and anatomical data combined with modern machine
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with the application of Algorithms, Artificial intelligence (AI), and Machine Learning (ML) methods to accelerate material discovery and design, optimizing manufacturing processes in nanoscience
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: Education: Ph.D. in machine learning, computer science, engineering, physical science or related technical discipline. Experience: Expertise in developing and training AI models Proficiency in Python
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related field by the start date, with a strong publication record in computer vision, multimodal learning, or vision–language models. We require hands-on expertise with transformer architectures (e.g., ViT
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, proteomics, metabolomics, microbiome). Strong expertise in machine learning, deep learning, and advanced AI frameworks (TensorFlow, PyTorch, Scikit-learn). Experience with bioinformatics tools and databases
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e.g., ultra-cold gases of bosonic or fermionic atoms, machine learning technologies and quantum computing. At the same time, we work in close connection with IJCLab experimentalists, particularly
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courses (approximately two courses per year). Additionally, they will assess the effectiveness of these strategies on student engagement, learning outcomes and sense of belonging. The Postdoctoral Associate
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of memory, ageing, and the effect of Alzheimer’s Disease risk factors on midlife brain function and cognition. The applicant should be interested in applying multivariate and machine learning neuroimaging
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The University of Chicago Academic Jobs Postdoctoral Researcher at the Rank of Instructor Committee on Conceptual and Historical Studies of Science, Social Sciences Division Position Type: Faculty
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or machine learning applied to brain signals would be an advantage. We are seeking a highly motivated, rigorous and inquisitive researcher, ready to commit to a project at the interface between basic and