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the Department of Radiology at Stony Brook University. The successful candidate will lead efforts to quantify multi-scale neurofluid dynamics, including blood flow and cerebrospinal fluid movement, using state
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laboratory in the Department of Radiology at Stony Brook University. The successful candidate will lead efforts to quantify multi-scale neurofluid dynamics, including blood flow and cerebrospinal fluid
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laboratory in the Department of Radiology at Stony Brook University. The successful candidate will lead efforts to quantify multi-scale neurofluid dynamics, including blood flow and cerebrospinal fluid
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signal processing and cloud microphysics and dynamics. Strong programming abilities (like Python), statistical knowledge, machine learning expertise, and data visualization skills are preferred. Brief
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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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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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Energy, Control Systems, or a related field. Strong background in power system stability analysis and nonlinear system dynamics. Experience with simulation tools such as PSCAD, MATLAB/Simulink, or PSS/E
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field. Strong background in power system stability analysis and nonlinear system dynamics. Experience with simulation tools such as PSCAD, MATLAB/Simulink, or PSS/E. Solid understanding of power
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Energy, Control Systems, or a related field. Strong background in power system stability analysis and nonlinear system dynamics. Experience with simulation tools such as PSCAD, MATLAB/Simulink, or PSS/E
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population dynamics and toxin accumulation in co-cultivated bivalves. ● Publish manuscripts based on the above subjects. ● Other duties as assigned, which may include attending Scientific Conferences