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activities through field surveys and data analysis; 4. collection, processing and analysis of samples for environmental DNA (eDNA) aimed at species detection and spatial distribution assessment; 5. performance
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causal machine learning, transport behaviour analysis, and residential energy demand modelling to support sustainable urban and energy policy. The researcher will contribute to the design, implementation
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combining causal machine learning, transport behaviour analysis, and residential energy demand modelling to support sustainable urban and energy policy. The researcher will contribute to the design
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applications. The role will focus on creating demonstrator platforms that combine sensing, data integration, analytics, and visualisation to support better understanding and management of energy use, flexibility
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; 3) Develop strong competencies in collecting, processing, and analyzing plant samples to characterize herbicide resistance mechanisms; and 4) Build robust data analysis skills and enhance scientific
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data-driven analysis algorithms for the assessment of thin-film solar cell fabrication processes within NOMAD Oasis installations. The team is responsible for the installation and development of (meta
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incorporate it into mathematical models of trait evolution across phylogenies. The work combines dimensionality reduction and geometric data analysis with the development of statistically rigorous comparative
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of Guinea, to be carried out at CIBIO/BIOPOLIS Association. The fellowship aims to support fieldwork activities and the analysis of biotelemetry data. Where to apply Website https://www.cibio.up.pt/en/jobs
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, Python, or equivalent will be an advantage. Prior experience in laboratory testing, data analysis, or industry-related engineering projects will be an advantage. Key Competencies Ability to build and
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measurements, plant morphology/ anatomical measurements. Strong data analysis skills, initiative, communication skills and the ability to work collaboratively are essential. This is a full time (36.25 hours