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development of decision support tools https://www.upv.es/entidades/SRH/conypi/A1272498.pdf Where to apply Website https://sede.upv.es/oficina_tactica/?idioma=en#/inicio Requirements Research FieldEngineering
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of 3D crystalline structures; – depending on the candidate's profile, implementing machine learning methods (AI & machine learning) for the analysis of physicochemical data from the hpmat.org database
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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
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Develop instrumentation and fixtures for the automation. Capabilities in advanced finite element or machine learning tools for process optimisation Disseminate the research outcomes into Journal
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excellence. To learn more about our mission and work, please visit https://erik.osu.edu/ . Unit Overview: The ERIK Office of Research Information Systems (ORIS) data team is responsible for providing services
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in machine learning theory and practice: you understand not just how to use tools, but how they work Deep learning expertise with modern frameworks (PyTorch, TensorFlow, JAX) Experience developing
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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
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past successes: https://europepmc.org/article/MED/35021063 , https://europepmc.org/article/MED/31819264 , https://europepmc.org/article/MED/31561945 , https://europepmc.org/article/MED/39747019 , https
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their skills. This Associate in Research will become a member of a multidisciplinary team that is utilizing chemical tools and biological methods to uncover novel aspects of malaria parasite biology with
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responsibility of developing predictive tools based on machine learning for the analysis and interpretation of Raman vibrational spectra applied to battery materials. The successful candidate will design and