76 big-data-and-machine-learning-phd Postdoctoral positions at Stony Brook University
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research experiments in the field of neuroscience, neuromodulation and movement disorders. ● Acquire and analyze data (including electrophysiological, 2-photon imaging and behavioral data from slices and
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) PhD (or foreign equivalent) in Microbiology or a closely related field in hand by the start of the appointment
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent). Preferred Qualifications: PhD in Bioengineering, Biomolecular
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent). Preferred Qualifications: PhD in Bioengineering, Biomolecular
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ongoing projects. Excellent written and verbal communication skills are also required. Specific Duties: ● Plan experiments and technical requirements, prepare and test specimens. ● Analyze data and
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theory and applications, instrumentation and signal processing and cloud microphysics and dynamics. Strong programming abilities (like Python), statistical knowledge, machine learning expertise, and data
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experiments in the field of nuclear science. Collect and analyze data, including periodical/literature search and utilizing specialized skills in related field to analyze the collected data. Participate/assist
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. Strong background in mantle convection modeling. Proficiency in integrating multidisciplinary datasets, particularly seismological and geochronological and or thermochronological data, into geodynamic
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experiments in the field of nuclear science. Collect and analyze data, including periodical/literature search and utilizing specialized skills in related field to analyze the collected data. Participate/assist
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Dr. Donghui (Don) Zhu, Ph.D to learn more about the department/research. Duties: ● Conduct research experiments utilizing specialized techniques, applying theories, concepts and principles in