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Field
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of AI/ML related to omics data analysis. Requirements: Candidates must hold a Ph.D. (or equivalent) in a relevant field and have a minimum of one year of postdoctoral experience. Applicants must
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issued after the analysis of the statements presented during the prior hearing of interested parties. After the statutory deadline of 10 working days, the proposal for the final classification and ranking
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written. Motivation to work with analysis and publications from various studies. Personal qualities Good communication- and collaboration skills in an interdisciplinary research environment. Ability to work
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Código do Procedimento Administrativo. If any allegations are presented, the final decision will be issued after the analysis of the statements presented during the prior hearing of interested parties
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load-flow analysis with (multi-)objective optimization algorithms for EV charging and discharging. – Investigate challenges related to optimality, robustness, and reproducibility of the proposed methods
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spatial analysis tools. - Knowledge of climate change, SDGs, the European Green Deal and other European agendas and strategies. - Initiative and ability to work in a team. - Capacity for presentation and
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-on-chip systems to model metabolic interactions; Implementation of cell cultures and differentiation of iPSCs; Processing of histological samples for optical and electron microscopy; Analysis
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use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography. Industry
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microscopy techniques and image analysis (confocal, multiphoton, or other advanced imaging techniques) and/or electrophysiology. Demonstrated computational knowledge, use of ImageJ, and familiarity with a
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their opinion at a prior hearing of interested parties, under the terms of articles 121 et seq. of the Code of Administrative Procedure. The final decision will be issued after the analysis of the pronouncements