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developing high performance PV devices using perovskite photoactive materials. Experience of perovskite PV device analysis is essential, as is experience in the fabrication of perovskite PV devices. Experience
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University & MD Anderson Cancer Job Duties Prepare samples and perform validation studies for omics analysis using genetically modified mouse models. Performs functional analysis to determine the role of
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performance. Position 1: Postdoctoral Research Associate – Detector Design & Analysis Qualifications: PhD in Experimental Particle Physics or related field. Preferred Qualifications Physics analysis
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infochemicals, Collaborate with the project team on data analysis and publication of results, Integrate ecological and chemical approaches to understand the role of infochemicals in plankton interactions. Where
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on studying the performance of photovoltaic solar panels installed on post-mining sites, in relation to microclimatic variations induced by local vegetation. The researcher will contribute to the analysis
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analysis. - Define one (or several) precise research questions and perform data analysis to explore them. - Write scientific papers and give scientific presentations in international meetings. - Participate
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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