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of the Foundation for Science and Technology (RBI-FCT), by the Research Fellow Statute (EBI), by the Norms for Grant Assignment and Management within R&D Projects, by the Code of Administrative Procedure (CPA), all
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numerically assess the performance via software simulation tools. Define the system specifications which will be then translated into requirements for the design and implementation of the photonic WDM switch
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at the Faculty of Health and Medical Sciences is available at the Graduate School’s website: https://healthsciences.ku.dk/phd/guidelines/ Application procedure Your application must be submitted electronically by
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» Global change Environmental science » Natural resources management Researcher Profile First Stage Researcher (R1) Application Deadline 30 Sep 2026 - 21:59 (UTC) Country Netherlands Type of Contract
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sample, and in vivo leukemia models Perform and oversee molecular, cellular, genomic, and functional assays Analyze, interpret, and integrate multi-omics datasets to generate biologically meaningful
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Other Engineering and Technology Sciences subarea Systems Engineering and Operations Research, within the scope of the project Firesys - AI-empowered Decision Support System for Wildfire Management, ref
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interactions at both local and larger spatial scales. The PhD position is in a project which will support effective strategic planning for coastal marine restoration by developing key performance indicators
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interpretation and participant care. Critically assess assay performance and interpretation Collect, analyse and interpret research data and draw conclusions on the outcomes Co-ordinate own work with that
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robust and resilient building renovation strategies. The research will address current limitations in renovation planning by integrating lifecycle performance, climate risks, indoor comfort requirements
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. Guides data collection, evaluation and analysis. Designs and manages databases. Writes reports, articles and manuscripts. Performs other related work as needed. Minimum Qualifications Education: Minimum