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Computational Fluid Dynamics (CFD), fluid mechanics, and Artificial Intelligence (AI), with a particular focus on developing deep reinforcement learning methods for active flow control of hydraulic
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and Learning has an open position for a doctoral student with a background and strong interest in deep generative learning and computer vision/remote sensing. The successful candidate will join a
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methods with a particular focus on deep learning and image analysis. The project relies on a close collaboration with researchers at the Department of Immunology, Genetics and Pathology (IGP) at Uppsala
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deep learning (e.g. generative models, Bayesian deep learning or large pre-trained models) and excellent programming skills in Python and a modern deep learning framework (e.g., PyTorch or JAX) are
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professional network between PhD-students, researchers and industry. Read more: https://wasp-sweden.org/graduate-school/ Your work assignments Machine learning, and in particular deep learning, requires
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Experience with single-cell analyses including spatial Meritorious Deep learning, machine learning As a person, you are self-motivated and capable of taking initiative in your work. You work in a
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active role in the interdisciplinary research environment at the eHealth Institute and within Samverkan e-hälsa apply and further develop expertise in machine learning, deep learning, natural language
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obtained earlier. The three-year period can be extended due to circumstances such as sick leave, parental leave, duties in labour unions, etc. Documented experience in machine learning, in particular deep
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experiments and interpretable machine-/deep-learning models. Publish research results in high-quality international journals (at least two peer-reviewed papers are expected). Eligibility Appointment
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a Research Infrastructure? No Offer Description The Department of Ecology, Environment and Plant Sciences (DEEP) conducts research and offers education at the Arrhenius Laboratories on the Frescati