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experiments to address this challenge. Job Requirements REQUIRED: Ph.D. and a minimum of two years of experience in Biochemical or Chemical Engineering, Biological Sciences, or a closely related field
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Models Basic Qualifications: A Ph.D. or equivalent degree in Machine Learning, Computer Science, Electrical Engineering, Geophysics, Applied Mathematics, or a closely related field. Demonstrated strong
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eligible to apply. Deadline Month: April Description: Supports early career scholars working to bring transformative medical research, education, and technology to rid the world of neurological diseases
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range of genomic and molecular biology approaches, from developing epigenetic insulator systems, epigenome profiling and CRISPR-based epi-engineering, to long-read sequencing, karyotyping, and live-cell
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—are intended to foster the early career development of researchers who have transitioned or are transitioning from training environments in the physical/mathematical/computational sciences or engineering into
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this knowledge to engineer useful functions in bacteria. We invite applications from postdoctoral candidates with backgrounds in microbiology and molecular biology. Applicants will benefit directly from the
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
Geiger at [email protected] . Massachusetts Institute of Technology is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be
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Details Title Postdoctoral Scholar in Applied Physics School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Applied Physics Position Description A postdoctoral
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multi-photon), viral vectors, protein engineering, mouse models, and multi-omics analyses. For further information on the lab, please visit: www.shigroup.org We welcome applications from postdoctoral
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possible. Basic Qualifications PhD in computer science, statistics, electrical engineering, applied mathematics, computational biology, or a related quantitative field required by the expected start date