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/or spatial genomics, computational biology, machine learning, bioinformatics, and systems neuroscience. Prior experience with deep learning applied to biological data is a plus. Practical experience
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PhD project, the successful candidate will develop an open-source workflow using deep learning and hierarchical statistical models to streamline the data flow from acoustic recorders to ecological
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of statistical analysis is required. Strong programming skills in Python, R and Linux-based software or similar languages and experience with modern machine learning and deep learning frameworks parallel computing
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Machine Learning / Deep Learning / LLMs Other qualifications For the doctoral programme in question, the following are considered as other qualifications: documented knowledge within human-robot interaction
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lifetime. Most studies on this topic explore optimization and deep learning methods for finding the global optimal solutions offline and verify the results by model-in-the-loop simulations, but this project
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communicate the results of your research verbally and in writing, Teach courses at Chalmers' undergraduate level, performing teaching duties corresponding to 20% of working hours, Design and implement deep
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optimal transport and gradient flows to machine learning and optimization applications, such as deep generative models, sampling, inference, stochastic optimization, and beyond. The doctoral student will
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position within a Research Infrastructure? No Offer Description The Division of Synchrotron Radiation Research (http://www.sljus.lu.se ) is a part of the Department of Physics and has more than 50 employees
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. The main research problems include mathematical theory, algorithms, and machine learning (deep learning) for inverse problems in artificial intelligence, as well as application to medical problems. About the
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strong computational–experimental feedback loop central to the project. Subject description Recent breakthroughs in deep learning–powered protein design, recognized by the 2024 Nobel Prize in Chemistry