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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission
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microscopy techniques and image analysis (confocal, multiphoton, or other advanced imaging techniques) and/or electrophysiology. Demonstrated computational knowledge, use of ImageJ, and familiarity with a
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. The incoming postdoctoral fellow will work closely with this technician to carry out experiments and help drive the research program forward. Requirements: The ideal candidate will hold a Ph.D., M.D., or
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10 Sep 2025 Job Information Organisation/Company FCiências.ID Department HR Research Field Environmental science » Ecology Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 2 months ago
. Preferred qualifications: D. in Quantitative Genetics/Genomics, Computational Biology, or Related Discipline. Skilled in single-cell transcriptomic analyses, machine learning and artificial intelligence
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). The institute also maintains locations in Dedelow and Paulinenaue.The research group “Farm Economics and Ecosystem Services” is a team of dedicated postdocs and PhD students who want to make a difference through
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experience organizing and leading a group of physicists within CMS or another HEP experiment, or has demonstrated the potential to do so. The Junior DR program provides an outstanding opportunity for young
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Research Researcher Job Description in Cancer Biology School: Department of Internal Medicine, The Ohio State University. Description: We are seeking highly motivated and enthusiastic Ph.D. or MD scientists
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practices. Qualifications: A PhD in the Social Sciences or the Humanities. Strong research and writing skills, demonstrated in the publication of multiple peer reviewed journal articles. Deep familiarity with
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Pathogenesis in the age of the microbiome (MICRO-PATH; https://micro-path.uni.lu ) is a highly competitive, interdisciplinary, research-intensive PhD training programme, supported by the PRIDE