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of computational materials discovery starting in Summer 2025 . Our group is seeking to discover novel materials for renewable energy applications using high-throughput quantum chemistry calculations and data-driven
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hydrocarbons. Qualifications: Must have a Ph.D. with thesis focusing on computational chemistry, computational heterogeneous catalysis, electronic structure theory, or other closely related fields. This position
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well as training in research methodology and quantitative data analysis. Previous supervisory experience desired. Knowledge and skills required for this position are typically acquired through the completion of a
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appointment is for 12 months with the opportunity to extend the position for up to 24 months, dependent on funding. Application Materials In a single PDF: cover letter with three references, CV, two examples
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needs of the group, a curriculum vitae, one print of prior scientific publications, and the names and contact information of 3-5 references through the website. Position Type Research Additional
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of computational materials discovery starting in Summer 2025. Our group is seeking to discover novel materials for renewable energy applications using high-throughput quantum chemistry calculations and data-driven
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to join the SoundMind Collaboratory and Brain Game Center for Mental Fitness and Well-being at Northeastern University. Together Seitz and Jaeggi have a broad research program that takes a lifespan approach
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of the nematode C. elegans. Our lab integrates genetics, live imaging, quantitative analysis, and computational approaches to uncover the molecular mechanisms regulating aging and longevity. Key Responsibilities
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. Our laboratory expects all lab members to foster a safe and welcoming environment. The duties and responsibilities for this position may include, but are not limited to: Design, construct and test
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or scholarship; work under the supervision of a senior scholar. Please use the space below to identify specific requirements for this position. Seeking Postdoc to lead fMRI data analyses related to aging, Locus