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Fundacion para la Investigacion e Innovacion Biosanitaria de Atencion Primaria | Spain | about 2 months ago
to collaborate in the lines of work and implementation of the project, developing the following functions from the coordination point of view: Financial and economic management of the project
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Infrastructure? No Offer Description Research line: Learning in single cells through dynamical internal representations. Job description: Develop theory, models and algorithms for identifying molecular encodings
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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 19 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
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networks, deep learning or physiological signal analysis. - Minimum of 2 years of accredited professional or research experience in tasks directly related to: AI algorithm development, hardware/software
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-------------------------------- - Implementation of algorithms in embedded processing systems, train integrity algorithms in IoT - Programming of embedded systems and HW implementation for IoT in railway applications Where to apply E-mail
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clasificación basados en aprendizaje profundo. Desarrollo de algoritmos de procesado de señal e imagen médica. ------------------- Development of algorithms for classification based on deep learning. Desing and
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light sources, quantum frequency conversion and quantum processing nodes. The current position will be within a project aiming at developing quantum network nodes with laser cooled atoms, including highly
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Description Distribution estimation algorithms for abductive inference (total or partial) in dynamic domains. Structural learning of dynamic Bayesian networks with discrete and continuous variables (parametric
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pathways, including deactivation processes. Screening and fine-tuning catalysts to enhance performance. Developing workflows and machine learning algorithms to accelerate catalyst design (optional). Group
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y 6g. ----------------------------- Support in research studies and development of prototypes for confidentiality and secure authentication using quantum resistant asymmetric algorithms. Application