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project TARGETWISE. The candidate will be responsible for conducting machine learning omics data analysis within the computational team. The details on responsibilities, obligations and rights
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quantify intraspecific and interspecific interactions, taking into account environmental, spatial and temporal variation. TASKS: The work is based on data analysis and modelling approaches. An initial phase
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via protein and RNA analysis including histology, immunohistochemistry, cell culture, cellular assays, RT-PCR, Western blot analysis, ELIspot and cellular imaging. Scientist will help use the data
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10 Sep 2026 Job Information Organisation/Company Institut de Recerca Biomèdica de Lleida, Fundació Dr. Pifarré (IRBLleida) Department Vascular and Renal Translational Research Group Research Field
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are excited to work across disciplines and help advance this emerging field. Job Description Primary Duties & Responsibilities: For further details please visit https://caolab.wustl.edu/ . Information on being
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participant inclusions, assessments, and experimental/narrative data collection. - Conducting qualitative and narrative analysis of data from both participatory and neuroimaging studies. - Managing
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; or sustainability transitions. Research Methods: Demonstrate experience in designing and conducting rigorous qualitative and quantitative research, including the collection and analysis of primary and secondary data
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activities may include analysis of whole-genome and next-generation sequencing data (including quality control, variant calling, annotation, filtering, genetic association, and biological interpretation
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industry. You will continuously characterise NC batches for a shared sample bank, build a reference database and use AI-supported data analysis to compare qualities and identify deviations. The work is
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. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement