16 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" research jobs at University of Lund in Sweden
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focus on probing the molecular factors underlying this instability (see for example https://www.nature.com/articles/s41467-019-08609-z/), and in understanding the pathway that link the functional and
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Institute of Molecular Mechanisms and Machines, (IMOL), Poland, and the Leicester Institute of Structural and Chemical Biology, United Kingdom. Your work may include clinical and biomedical projects. It may
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Source (ESS), Sweden, the European Molecular Biology Laboratory (EMBL), Institut Laue-Langevin (ILL), France, the International Institute of Molecular Mechanisms and Machines, (IMOL), Poland, and the
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willing and able to learn quickly within a collaborative and interdisciplinary team. Instructions on how to apply For more information and documents/templates/europass link, please visit https
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these postdoctoral positions are aimed for you! Subject description We are hiring 1-3 postdocs within the following projects: The first project, Dual Control at Scale: Learning-based control for systems
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for near-real-time monitoring of crop growth and early yield prediction, combining remote sensing, machine learning, and crop modeling to support sustainable agriculture. Within the project, we will estimate
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biomarker detection. This requires the use of machine learning techniques including the production of training data by simulation of optical fields. The project also includes guidance of experiments aiming
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for machine learning, e.g. PyTorch or TensorFlow. Strong ability in spoken and written Swedish. Assessment of the applicants will primarily be based on scientific merits and potential as researchers. Special
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factor that strongly modifies turbulence, pressure drop, and heat transfer. Unlike conventional machined roughness, AM roughness is characterized by randomness, porosity, and powder adhesion, producing
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of the following areas: state models, time series analysis, computational statistics, unsupervised machine learning, optimisation, model predictive control. Experience in financial mathematics. Having high integrity