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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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, and photodynamic analyses, with the objective of integrating them as the electroluminescent layer in MOF-based light-emitting diodes (MOF-LEDs). Requirements: The candidate must hold a PhD degree in
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of parametrization of these models based on least squares and Bayesian calibration techniques employing longitudinal series of anonymized PSA data from patients. 3) Analysis of the predictions, parameters, and
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platform, imaging platform, mass spectrometry platform and experimental animal platform. In line with international standards, HCLS runs the Tenure-track system and PI responsibility system and strives
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phylogenetic reconstruction and genetic diversity analyses using Bayesian and maximum likelihood frameworks (e.g. BEAST, IQ-TREE). Develop, document and maintain reproducible bioinformatic pipelines following
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leadership and vision in effecting the academic objectives of the Hub and in fostering a collegial culture; play an energetic role in leading the Hub in its diverse activities, including program development
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scientific developments relevant to the objectives of the Nanomedicine Lab, the projects providing funding and provide relevant expert contributions in collaboration with its project partners · Contribute
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period. The research of the candidates must be aligned with IRBLleida’s scientific programs and strategic objectives. Ideally, their expertise and field of research should generate new synergies with
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Department Support the preparation of project documents such as protocols, reports, and meeting notes. Assist in organizing meetings, workshops, and other project events. Keep track of project timelines, tasks
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. The successful candidate will be joining the Molecular Nanophotonics group led by Prof. Dr. Niek van Hulst. Key responsibilities Contribute to Project FastTrack, to track energy (exciton/charge) transport in