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deficiencies. Quantify nutrient uptake, remobilization, and use efficiency using physiological, biochemical, and molecular tools. Collaborate with team members in data analysis, modeling, and interpretation
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and Dr. Shang-Min Tsai, respectively. The initial appointment for both positions is for two years, with flexible start date in 2026 and possible extension for two more years depending on performance
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computational infrastructure, well-established analytical pipelines, and deep genomic analysis expertise, St. Jude offers a work environment where you will impact the future care of pediatric cancer patients. As
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. Desirable requirements: Master’s degree and specialization courses in bioinformatics Experience in proteomics techniques Knowledge of statistical analysis Use of free and licensed software for proteomic data
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postdoc. The role will involve working with genomic and transcriptomic data obtained from patients diagnosed with lymphoid malignancies (chronic lymphocytic leukemia and NHL mainly). The main focus is the
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knowledge, abilities, and skills: Excellent communication skills; knowledge of program R, ArcGIS, spatial analysis, common statistical approaches to wildlife data, ability to operate under adverse field
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cortex in vivo. Main missions include conducting in vivo calcium imaging experiments, developing behavioral analysis protocols, analyzing and interpreting experimental data, contributing to the publication
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Is the Job related to staff position within a Research Infrastructure? No Offer Description Work group: Institute of Metallic Biomaterials Area of research: Scientific / postdoctoral posts Starting
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University required minimum for all postdoctoral scholars appointed through the Office of Postdoctoral Affairs. The FY25 minimum is $76,383. We are seeking a postdoctoral fellow to work on cutting-edge single
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. This position is part of a project aimed at evaluating the integration of native vegetation beneath photovoltaic installations in semi-arid post-mine environments. The objectives include soil stabilization, dust