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programming (Python, Matlab, etc.) as well as in modeling polymerization processes or using machine learning techniques is highly desirable. Good command of written and spoken English is a must (if preselected
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to field and area) Proficiency in coding, robotics, and computational design tools (e.g., Python, MATLAB, Arduino, TensorFlow, SolidWorks, or similar). Other: Reliable transportation to Lansdale, PA, and
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Continuous Integration/Continuous Deployment (CI/CD) and software test engineering. Applied experience with Robot Operating System 1 (ROS1) and ROS2, C++, MATLAB, Arduino, and Python in an autonomous robotics
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experience in scientific programming (Matlab and/or Python and/or C) Analytical mindset Proven autonomous attitude in research Hands-on approach with experimental lab work Excellent interpersonal and
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experience with finite element or finite difference modelling and its underlying fundamentals. The student should be able to program in MATALB or Python (MATLAB preferred as lead supervisor is more familiar
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Additional Qualifications Strong confidence with and/or facility to learn Matlab or Python-level programming Strong interest and experience in systems neuroscience, electrophysiology, or primate behavior
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We expect the candidate to: • Hold a PhD in Neuroscience, Computer Science, Neural Engineering, Biomedical Engineering, Data science, or a closely related discipline. • Proficiency in Python/Matlab
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criteria - Master simulation tools such as SPICE, VHDL(-AMS), Cadence, as well as calculation and modeling tools such as Matlab/Octave or Python. Skills in finite-element type numerical simulation will be a
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of single cell imaging data. Experience with programming language (e.g. Matlab, R or Python). Excellent communication skills. Any of the following will be a plus: Experience with mass spectrometry. Experience
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Python, R, or MATLAB. Solid understanding of battery systems, electrochemical processes, or energy management. Preferred Skills: Experience with time-series analysis, predictive modeling, and anomaly