23 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Imperial-College-London" positions at University of Lund
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assays, complemented by mass-spectrometry-driven chemical profiling and machine-learning-supported multivariate analysis. Where relevant, CRISPR-Cas-based genetic perturbations in mammalian cell models
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in at least two of the following areas (or similar): Wireless Communication Systems, Internet Systems and Computer Networks, Robotics, Machine Learning and AI, Automatic Control, or Mathematical
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protection and security, work environment safety and environmental safety at the MAX IV Laboratory. The team is now looking to employ an expert within machine safety. As the sole machine safety engineer, you
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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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or Seaborn and more. Parallel programming (MPI, OpenMP, CUDA) Knowledge in the scientific build environment EasyBuild. General knowledge of Artificial Intelligence and Machine Learning. AI/ML. Knowledge
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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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. Areas of study include perception, memory, learning, cognitive development, attention, motor control and spatial navigation. The research falls within the field of cognitive science, with a focus on
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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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. Subject description The project aims to increase the understanding of the biology associated with response to CAR T-cell therapy in malignant lymphomas. Specific focus will be on (i) early detection
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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