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- Universitat de Barcelona
- Institute for bioengineering of Catalonia, IBEC
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- INSTITUTO DE ASTROFISICA DE CANARIAS (IAC) RESEARCH DIVISION
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Barcelona is seeking a highly motivated Computer Engineer to join our team and contribute to the development of a cutting-edge federated analysis infrastructure for the European repository of cancer imaging
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month postdoctoral contract to work in a multidisciplinary research project that combines photonics, neuroscience, molecular biology, in vitro and in vivo calcium imaging. The hosting group is led by Dr
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the development of custom algorithms for image or data processing, workflow automation and the interpretation of large volumes of information from optical, thermal or flow measurement systems. Participation in
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, X-ray optics, UHV technology, and electron-ion coincidence imaging techniques. We are currently looking for a Staff Scientist in Attosecond soft X-ray Science Key Responsibilities: Support and
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Processes and developing AI algorithms for image processing and analysis. Years of Research ExperienceNone Internal Application form(s) needed Normalitzat_Cvi_registreiseguiment_english_4.pdf English (47.04
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imaging, electrical pulse stimulation and contraction force measurement) Integration of bioactuators into soft robotic systems Requirements for candidates: Essential: Degree and Master on any field
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, Reduction, Refinement), cost-effective testing paradigm for chemical safety assessment — Precision Toxicology — that revolutionises regulatory toxicology, replaces animal testing, reduces uncertainty, and
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skills · You have advanced MS Office, Computational Image analysis, statistical analysis tools. Competences · Highly developed organizational and communication skills · Ability
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images, with predictive value Implementation of natural language processing tools for data structuring Development of prognostic models and prediction of results We aim to hire an experienced data
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resonance imaging) Fluency in English Experience and knowledge: Required: Experience in computer programming Expertise in Python programming for Machine and Deep Learning, e.g., sklearn, pytorch, tensorflow