40 phd-position-for-fully-funded-reserch-in-computer-vision Postdoctoral positions at Northeastern University
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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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funding and project management experience are pluses. Applicants should send a letter of application addressing the selection criteria and indicating how their background and expertise fit with the specific
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program that takes a lifespan approach using a variety of cognitive and cognitive neuroscience approaches (e.g. behavioral, psychophysical, neuropsychological, physiological, imaging, pharmacological
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are specifically looking for candidates who possess a strong background in theoretical and computational modeling of biological systems, soft matter, or statistical physics. The positions will commence in January
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: experience with Chlamydomonas reinhardtii or Arabidopsis thaliana, photosynthesis, high-throughput genetics, computational data analysis, and fluorescence microscopy. Applications must include a cover letter
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closely with other researchers who use a broad set of interventionist approaches to benefit cognitive and brain health and promote well-being across the lifespan. With a mixture of federally funded projects
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the progress of research. * This position is a fully remote opportunity and there will be no requirement of an on campus presence. Position Type Research Additional Information Northeastern University considers
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://tanglab.sites.northeastern.edu/ Qualifications: Having a PhD degree from all science and engineering majors, especially Mechanical Engineering, Chemical Engineering, Physics, and Materials Science. Highly motivated. Having
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to assist in the precise diagnosis of major diseases, including cancer and cardiovascular disease. QUALIFICATIONS: PhD in Electrical Engineering, Applied Physics, Biomedical Engineering, or a relevant field
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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