594 evolution-"https:"-"https:"-"https:"-"LGEF" Postdoctoral positions in United States
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of Washington. Qualifications MINIMUM QUALIFICATIONS: Applicants should have a Ph.D. in statistics, biostatistics, bioinformatics (or related fields). Strong skills in applied statistical methods development
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the development and progression of kidney disease. The laboratory of Dr. Sandeep Mallipattu in the Division of Nephrology, Department of Medicine at Stony Brook University School of Medicine is seeking highly
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design, advanced modeling and high-performance computing, mathematics and data analytics, AI/ML algorithm development, and accelerator operations Ability to model Argonne’s core values of impact, safety
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Resistance – Core methodologies for studying plant–pathogen interactions and screening for disease resistance in tropical perennial crops. Genomic and Molecular Tools – Application and development of molecular
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of reaction mechanisms in molten salts and apply insights to process development and scale up. Project activities will include the design and development of advanced sensors and flow systems for molten salts
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. Funding for each position will include a modest supplement for research and travel costs. There will be opportunities for professional development within the FHL community, e.g. via mentoring student
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their science to peers and the public through presentations, writing, and digital formats. Excellent organizational and verbal and written English communication skills are required. Professional development
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technologies to join her research team. The successful candidate will work on cutting-edge projects related to advanced battery systems, electrochemical energy storage, materials development, or interface
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are focused on Systems Biology, Epigenetic Gene Regulation, Single-Cell Genomics and Cancer Biology. Responsibilities for this position include data analysis, method development, scholarly activities and other
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to the development and refinement of innovative research methodologies and will independently design, optimize, and execute complex immunologic and molecular experiments across in vitro, ex vivo, and in vivo model