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Field
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, or control theory Proficiency in MATLAB, Python, or equivalent scientific computing tools Strong writing, verbal, and interpersonal communication skills are required Proven ability to work independently and as
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-adapted LLM tools for proposing candidate DSP structures and parameterizations Verification & test automation: validate designs using established tools (e.g., MATLAB, GNU Radio) and develop tests
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on process development • Knowledge of fabrication and operation of high pressure systems • Computational competences with MATLAB and COMSOL • Fluent in English, both written and spoken • Experience in working
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statistical modeling and analysis of human performance data (reaction time, workload, situation awareness), including mixed-effects/multilevel models. Programming proficiency in Python, R, and/or MATLAB
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field is required. Proficiency with programming and data analysis using at least one of MATLAB, Python, or R is required. City: Piscataway State: NJ Physical Demands and Work Environment: PHYSICALDEMANDS
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candidate holds a Ph.D. in Chemical Engineering (or a related field), is proficient in both mechanistic modeling and ML frameworks (e.g., TensorFlow, PyTorch), and has strong programming skills (Python/MATLAB
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candidate holds a Ph.D. in Chemical Engineering (or a related field), is proficient in both mechanistic modeling and ML frameworks (e.g., TensorFlow, PyTorch), and has strong programming skills (Python/MATLAB
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methods is a plus Programming experience in MATLAB and/or Python Familiarity with process simulation software such as Aspen Plus or Aspen HYSYS Application and Selection: The application folder must contain
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learning or neural networks), etc. The experience could come from lithium-ion, lithium-ion capacitor, sodium-ion, or other battery technologies. You have solid skills in Matlab/Simulink simulation tool
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experimental work in chemical or process engineering (desirable) Knowledge of process optimization, parameter estimation, or control methods is a plus Programming experience in MATLAB and/or Python Familiarity