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the Systems Analysis Unit, looking for talented and motivated candidates to work on process simulation and life cycle sustainability assessment of agri-food waste valorisation systems. Contract funded by
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Generación de Conocimiento 2024 by the Spanish Ministry of Science, Innovation and Universities Introduction to the vacant position: The Biomedical Signal Processing and Interpretation (BIOSPIN) Group
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transistors to solve some of society’s most pressing computational challenges. Silicon-based approaches to quantum information processing offer advantages for scaling such as high qubit density, record qubit
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Research Centre for the Management of Agricultural and Environmental Risks (CEIGRAM) - Universidad Politécnica de Madrid (UPM) | Spain | about 2 months ago
Research Infrastructure? No Offer Description Master’s degree in Agronomy. Research Line: Image analysis and early detection of pests and diseases in greenhouse crops. Where to apply E-mail ceigram.etsiaab
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knowledge on drug delivery, biomedicine, chemical synthesis, biomedical imaging. Experience in synthesis of nanoparticles, nanoformulations, surface functionalization, drug loading and release. Experience in
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, chemical synthesis, biomedical imaging. Experience in synthesis of nanoparticles, nanoformulations, surface functionalization, drug loading and release. Experience in cell culture and study of cell toxicity
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potential application in the development of contrast agents for Magnetic Resonance Imaging (MRI) and radiopharmaceuticals for diagnostic purposes. Center: Interdisciplinary Center of Chemistry and Biology
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profesionales en el ámbito de la construcción con madera. - Se valorarán otras titulaciones de máster adicionales. - Se valorará la experiencia en fabricación digital. - Se valorará la experiencia previa en
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of an image analysis algorithm for particle tracking and speed quantification. Requirements for candidates: Essential: BSc and MSc in biochemistry, biology, biophysics, biotechnology, biomedical engineering
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positively valued: programming languages (Python, JavaScript), data analysis software techniques and tools, machine/deep learning (Pandas, SHAP , TensorFlow, etc.) and specific to image analysis, statistics