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. Contribute to development of research proposals and new research initiatives. Required Qualifications – Experience, Education, Knowledge & Skills PhD in Physics Education Research, Physics, Mathematics
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associate position to conduct research in machine learning (ML) for applications in High-Energy Physics (HEP). We seek highly qualified candidates with interest and experience in ML algorithms including
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experiments within the Pediatric Brain Tumor Research Program. This position will be responsible for evaluation and analyzing large sequencing and multiome data-sets. Baylor College of Medicine typically
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: Bibliographic search in BBDD. Chemical analysis in the laboratory. Wastewater treatment. Extractions. Specific Requirements Knowledge: Microbiology. Chemistry. Professional Experience: In writing scientific
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 6 hours ago
people with HIV on ART, SIV/rhesus macaques, and HIV/hu-mice will also be studied. Minimum Education and Experience Requirements A Ph.D. in microbiology and immunology, virology, molecular biology
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 6 hours ago
people with HIV on ART, SIV/rhesus macaques, and HIV/hu-mice will also be studied. Minimum Education and Experience Requirements A Ph.D. in microbiology and immunology, virology, molecular biology
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experiments, ex. generate/characterize Arabidopsis mutants and transgenic plants, large-scale DNA/RNA/protein-extraction, PCR, qRT-PCR, western blot, RNA-seq/Ribo-seq library constructions and analysis, and
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experience in designing and implementing geoarchaeological sampling programme at settlement and burial sites. Training in geoarchaeological laboratory methods, including micromorphology and bulk soil analyses
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Food Protection Consortium, working with plastic packaging and recycling to evaluate contamination, regulation, and properties. Required Minimum Qualifications: PhD Preferred Qualifications: Experience
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companies and regulators, understand and sociotechnically construct ‘data quality’ in energy systems, both now and in the green transition future. The postdoc should, ideally, have experience of critical data