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Field
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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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Development, implementation and experimentation of distribution estimation algorithms in dynamic optimization problems. Where to apply E-mail lauragveiga@fi.upm.es Requirements Research FieldComputer science
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optical trapping and levitation, in particular for the development of novel inertial quantum sensors. We also work on other quantum technologies, such as the quantum control of the nuclear and electronic
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/Qualifications Experience in: - Development of artificial intelligent algorithms. - Explanaible artificial intelligence - LLM experience - Virtual intelligence entities using reinforced learning
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organic scaffolds to: Modulate secondary structure properties. Develop biomarker sensor and drug discovery systems for applications in human health. This position aligns with ICIQ’s strategic pillar in
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perspective. Sensors of animals and their environment will be used and connected to cloud services. Massive, real-time data will be used to perform an integrated environmental and energy evaluation of the farms
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in medical image analysis. The ideal profile should demonstrate experience in developing deep learning algorithms applied to radiological imaging, particularly in breast and thoracic domains. Knowledge
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plays an important role in the commissioning, operations and upgrade of the interferometer. For the latter, IFAE is leading the construction of new baffles instrumented with photo sensors around the test
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plays an important role in the commissioning, operations and upgrade of the interferometer. For the latter, IFAE is leading the construction of new baffles instrumented with photo sensors around the test
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, Physics , quant-ph , Quantum Science + Quantum Information Science + Quantum Optics + Theoretical Physics , Quantum Sensors , Theoretical Particle Physics , Theoretical Physics, HEP-Phenomenology (hep-ph