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. Proficiency in data analysis software (e.g., R, MATLAB, SPSS, Primer, Python). Experience with analytical techniques such as ANOVA, PCA, Regression, and Multidimensional Scaling (MDS). Experience in ecosystem
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programming languages such as Python, R, or MATLAB for data analysis and algorithm development. Knowledge of machine learning techniques and statistical modeling for environmental applications. Excellent
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-culture approaches, and skilled in fluorescence microscopy and image analysis for functional read-outs of microphysiological systems Software: Proficiency in Python, MATLAB, or R for data analysis, and
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)/machine learning (ML) applications in the power grid. * Experience with power system modeling, simulation, dynamics and/or optimization, phasor and electromagnetic transient (EMT)-based modeling, and Python
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. sonar, DVL, SBL, IMUs, pressure sensors) is particularly relevant. Technical computing skills: Proficiency in programming (e.g. Python and C++). Familiarity with robotics software frameworks such as ROS
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lab/field validation. - Strong DSP/algorithms and real-time control; proficiency in Python/Matlab. - Experience integrating optics with electronics and firmware. - Track record of publications in fiber
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-on research experience is a necessity. Proficiency in MATLAB or Python is a significant plus, as is previous coursework/enduring interest in neuroscience, biology, and/or bio-engineering. The ideal candidate
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physics, and Brownian motion - Advanced experimental skills in ultra–low-noise measurements - Proficiency in data analysis with Matlab or Python - Practical knowledge in electronics, mechanics, optics
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in wireless networks, signal processing, and backscattering techniques. Understands 3GPP and UHF RFID protocol fundamentals Has strong programming skills (Python, C/C++, MATLAB). To accredit a level of
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students Strong background in laboratory experiment or numerical computation Familiar with Matlab, C++, Python, Java, or other programming language Proficient in one of the software packages: PFC, VISSIM