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learning and deep learning) for the quantitative analysis of transmission electron microscopy images. Developing programmes in Python and MATLAB to implement the methods developed. Preparing
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until the end of the projects with the possibility to extend the contract as part of other grants within the lab. The requirements for the position are: Machine learning and deep learning algorithms
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highly valued, together with knowledge of physics simulation, hydrodynamic modelling, deep reinforcement learning, imitation learning and sim-to-real transfer. Proficiency in MuJoCo or equivalent
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CFM-Centro de Física de Materiales/MPC-Materials Physics Center | Donostia-San Sebastian, Pais Vasco | Spain | 2 months ago
to establish a closed-loop platform that combines computational inverse design, robotic synthesis, online characterization, and machine learning-driven optimization of plasmonic nanoparticles. Join us
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. The requirements for the position are: Strong background in machine learning and deep learning, with experience in developing and evaluating AI models for biomedical imaging and/or healthcare
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Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH | Barcelona, Cataluna | Spain | about 2 months ago
30267390021 Is the Job related to staff position within a Research Infrastructure? No Offer Description Mission: Investigate the applicability of machine and deep learning techniques for the design of
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Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH | Barcelona, Cataluna | Spain | 28 days ago
conferences and journals on machine learning and networks, release the code in open access and actively participate in the international interpretability community. Where to apply Website https
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tracing, CRISPR screens or other high-throughput perturbation approaches. Experience with quantitative image analysis and deep learning tools for segmentation and classification (e.g., Cellpose
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microfluidics, nano-electronics, nano-biomaterials, big data, and deep learning. Applicants must hold an M.D., Ph.D., or equivalent degree and have extensive postdoctoral experience, along with a strong
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expertise in the field of immunology and bioinformatics and/or mathematical modelling Addition Qualifications: - Experience in applying machine learning, deep learning to immunology - Experience with