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to translate this knowledge into innovative, optimized vaccine candidates (PMIDs: 35015104, 34990590, 33323394, 30439392; patent: WO2024003343A1). About the Project: You will contribute to a project
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. Mentors the radiation staff to optimize divisional production is of premium quality. Provide technical assistance and guidance on radiation safety problems- shielding designs, waste handling procedures and
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profile PhD in an environment-related field followed by experiences as PostDoc in related interdisciplinary research contexts, optimally with research that aimed to work on environmental evidence synthesis
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experiments using gene-edited hematopoietic stem/progenitor cells Develop and optimize gene editing protocols for ELANE for therapeutic use Evaluate safety, efficacy, leukemogenicity and off-target effects
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science, statistics, or information engineering, with an emphasis on learning theory, optimization, or model evaluation, and have research experience applying these methods in domains such as physics, life or social
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, construction, and operation of optimized stellarators and other superconducting fusion devices. Candidates at all career stages, from Assistant Professor to Chair Professor and from junior to senior Researchers
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techniques, supporting land evaluation and soil suitability analyses for climate-resilient, salt-tolerant crops, and halophytes. Assess and optimize soil-water-plant interactions, with emphasis on nutrient
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to provide actionable recommendations that enhance internal controls, optimize processes, and contribute directly to the strategic objectives of a world-renowned institution. You will lead, mentor, and empower
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workshops. What You’ll Do: Design, plan and perform method optimization experiments independently Perform data analysis and interpretation, in particular image processing and analysis Present research reports
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discovery processes, including target identification, assay development, high-throughput screening, and lead optimization Familiarity with various “-omics” technologies (genomics, proteomics, metabolomics