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collaboration, this position is based on campus, full-time, at Harvard University. Remote work for this position is not possible. Basic Qualifications PhD in computer science, statistics, electrical engineering
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We invite applications for a 2-year Postdoctoral Research Associate position in Nucleic Acid Computing and Molecular Programming in the laboratory of Dr Gamze Gursoy at the University of Cambridge
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at the Department of Chemistry at the University of Cambridge. Essential requirement: candidates must have (or be about to obtain) a PhD in solid-state NMR spectroscopy. Please detail your solid-state NMR experience
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should submit a cover letter, CV, a brief research proposal, and two to three references’ names and contact information. Applications will be reviewed on a rolling basis until the position is filled
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basis until the position is filled. For more information, please visit our website – https://joonholeegroup.com/ – or contact the department directly. Please note: This position is contingent upon funding
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contact information (including email addresses) of three references. Please send this to [email protected] to express interest. Web: https://lopezsilva-lab.mit.edu/ This position is located at MIT in
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Karen Toffler Charitable Trust (KTCT) Scholar Grant program Eligibility: Early-career investigators (PhD candidates, Postdocs, Assistant Professors). Non-US citizens with a valid US visa are
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
, scientific computation, scientific software and algorithm development, and data analysis; demonstrated ability to conduct original, high-quality research in computational fluid dynamics and/or computational
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 13 hours ago
depletion and radiative forcing by these gases. Additional information about AGAGE and CS3 is available at https://agage.mit.edu and https://cs3.mit.edu . Job Requirements REQUIRED: Ph.D. in a relevant
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 13 hours ago
observational data of non-CO2 greenhouse and ozone-depleting gases (e.g., N2 O, CFCs, HFCs), and to extract diagnostic insights from instrument performance indicators, using machine learning methods. Additional