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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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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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scientific/technical work focusing on modelling, simulation, algorithm development, data analysis, testing, or evaluation of complex technical or computational systems. Knowledge or experience in one or more
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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
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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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FieldAllEducation LevelPhD or equivalent Skills/Qualifications Essential Qualifications 1. Degree or diploma in engineering sciences, computer science, physics, or mathematics (e.g., electrical and computer
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electronic or electrical engineering, mathematics, electromagnetics, or a physical sciences subject. 2. Excellent mathematical skills and background. 3. High proficiency in Matlab, Mathematica, Maple, R
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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