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seeks to appoint a Researcher (R1- Master's Degree) on information management who can generate insights and recommendations based on process and user feedback data analysis to contribute
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of response and develop predictive models. The work will involve analysis of large-scale datasets through multiomics integration, machine learning, statistical genetics, QTL analysis and development of genetic
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to contribute to the analysis, data processing, modelling, evaluation, and technical documentation of results related to the following deliverables: D4.1 Semantic Model & Ontology Extensions (v1.0) D4.2 Knowledge
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packages: WP2: Requirements Elicitation and Ecosystem Impact of GRAVITEQA Solutions and, more specifically, in the following task: Task 2.2: EU Climate Targets, LCA, TEA, and Feasibility Analysis
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developed within TWIN4CITIES. The work includes the review and comparative analysis of existing data standards, semantic models, and ontologies related to the thematic areas of the project, as
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support activities related to the collection, harmonization, and analysis of data on Invasive Alien Species (IAS). Responsibilities include contributing to the integration of information from major IAS
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/She will work on WP4, Determination of the nature and mode of action of biopesticides with emphasis on chemical analysis and identification of bioactive fractions of bioinsecticides with aim to assess
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Description Τhe PhD candidate will be involved in the characterization of RF MEMS capacitive switches and related structures as well as in the assessment and analysis of the generated and existing data. Where
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and analysis of wastewater samples and on the operation and monitoring of waste/wastewater treatment systems. Specific Requirements Previous participation in funded research projects Presentations
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on genetically and optically tractable arthropod species that satisfy a number of appealing biological and technical requirements. We combine advanced microscopy and image analysis pipelines with genetic and