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analyses, structural modelling and functional prediction. The candidate must also have hands-on experience in recombinant Rubisco expression, protein purification and enzymatic characterisation. These skills
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opportunities. Flexible working arrangements, including the possibility of partial remote work. Responsibilities: Design and implement machine learning and AI models for the early identification and prediction
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-femur joint contact modeling. Assist with motion capture. Support musculoskeletal simulations in the cloud, through supercomputing. Where to apply Website https://seuelectronica.upc.edu/en/procedures
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statistical analysis or predictive modelling tasks with data derived from the image, depending on the profile. Where to apply Website https://www.irblleida.org/en/jobs/494/senior-research-technician
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technologyEducation LevelPhD or equivalent Skills/Qualifications PURPOSE OF THE CONTRACT WITHIN THE FRAMEWORK OF THE PROJECT: -Pre-processing and preparation of aerial imagery for training predictive models
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biological and engineered systems – Data-driven modeling and simulation in bioengineering – Digital twins and predictive modeling for biological systems – Signal and image processing for bioengineering
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deep learning for complex biological and engineered systems Data-driven modeling and simulation in bioengineering Digital twins and predictive modeling for biological systems Signal and image processing
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of the SU(N) Fermi-Hubbard model and its low-temperature phases at the microscopic level. Share this opening! Use the following URL: https://jobs.icfo.eu/?detail=1003