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of data matrices (using parsimony and Bayesian phylogenetics); - Conducting multivariate analyses using R. LanguagesENGLISHLevelExcellent Research FieldBiological sciencesEnvironmental science » Earth
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Centre (NCN). The Principal Investigator is Dr. Eng. Piotr Kopka, email: Piotr.Kopka@ncbj.gov.pl Project description: The project aims to develop a new class of inverse Bayesian models called STE-EU-SCALE
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. Knowledge of ensemble reweighting techniques (e.g., Bayesian approaches, metainference) and the ability to assess model-to-data fit quality. Proficiency in Unix/Linux environments and solid programming skills
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new light sources and multidimensional light control techniques. Both single-mode and multimode fibers will be considered. Our main objective is to advance the understanding of spatiotemporal mode
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leveraging visual perception of human actions, object properties, and scene context. It integrates machine learning tools, knowledge representation, and robot actions design to develop decision-making
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to object to the processing, and to lodge a complaint to the supervisory authority, as well as the right to transfer the data. The personal data collected will not be sold or made available to third parties
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(Articles 15 and 16 of the GDPR), deletion of data (Article 17 of the GDPR), restriction in processing (Article 18 of the GDPR), objection to processing (Article 21 of the GDPR), data transfer (Article 20
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it, restrict processing, transfer it, object to processing, and withdraw consent at any time – without affecting the lawfulness of processing based on consent before its withdrawal. In all matters
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functions in edge-cloud continuum infrastructure to be able to program in object-oriented and scripting languages, such as Java, C++, Python, JavaScript, and to have knowledge about Kubernetes environment and
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(Articles 15 and 16 of the GDPR), deletion of data (Article 17 of the GDPR), restriction in processing (Article 18 of the GDPR), objection to processing (Article 21 of the GDPR), data transfer (Article 20