42 computational-complexity-"Prof"-"Prof" Postdoctoral positions at Stony Brook University
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the study of complex, heterogeneous systems such as urban and coastal areas. This position has a high level of interaction with an international and multicultural scientific community. The successful
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converter degradation/failure analysis. Brief Description of Duties: The Postdoctoral Associate will support the Principal Investigator, Dr. Fang Luo , in the Department of Electrical and Computer Engineering
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converter degradation/failure analysis. Brief Description of Duties: The Postdoctoral Associate will support the Principal Investigator, Dr. Fang Luo , in the Department of Electrical and Computer Engineering
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experiments are appropriately conducted following the policies and procedures of Stony Brook University. The successful candidates will work on the parity- violating electron scattering (PVES ) program at
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. Solid understanding of power electronics, grid integration of renewables, and stability assessment techniques. Excellent analytical, programming, and computational skills. Strong publication record in
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. Solid understanding of power electronics, grid integration of renewables, and stability assessment techniques. Excellent analytical, programming, and computational skills. Strong publication record in
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. Participation in professional advocacy activities. Qualifications Required Qualifications: Possession of a Doctorate in Psychology from a program accredited by the American Psychological Association (APA
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. Participation in professional advocacy activities. Qualifications Required Qualifications: Possession of a Doctorate in Psychology from a program accredited by the American Psychological Association (APA
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experience with larval or pathogen dispersal simulation and connectivity analyses strongly preferred. Knowledge of epidemiological modeling, and proficiency in multiple programming/analytical computer
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experience with larval or pathogen dispersal simulation and connectivity analyses strongly preferred. Knowledge of epidemiological modeling, and proficiency in multiple programming/analytical computer