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Master's Degree in Social Work or related field, plus 3000 hours post Master's experience or PhD or PsyD from an APA accredited program. Must have and maintain current licensure as a Licensed Clinical Social Worker (LCSW), Marriage and Family Therapist (LMFT), or Professional Counselor (LPC) from the State of Wisconsin and satisfy continuing education requirements.
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Bachelor’s Degree in Electronic Engineering, or Physics or Marketing or Business Administration or other related fields [MSc or PhD will be an advantage]. Bachelor’s Degree in Electronic Engineering, or Physics or Marketing or Business Administration or other related fields [MSc or PhD will be an advantage.
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PhD in Reliability Engineering, Electrical Engineering, Chemical Engineering or related discipline. 7 + years of relevant work experience in battery reliability engineering, preferably in the automotive or energy storage industry.
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Advanced technical education in electrical-/mechanical-engineering or computer sciences (Masters or PhD) - focus on control systems. The Lead Control Systems Engineer is a member of the Waukesha Controls team responsible for engine controls development and validation activities.
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15 or more years of experience with a Bachelor’s Degree or 12 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, or MD), PhD with 9+ years of experience. 12 or more years of work experience with a Bachelor’s Degree or at least 10 years of work experience with an Advanced degree (e.g. Masters/MBA /JD/MD), or a minimum of 5 years of work experience with a PhD.
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A master’s degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 – 7 years’ experience in data science or a similar role. Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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Master's Degree/ PHD in Computer Science, Computer Engineering or Electrical Engineering. Familiarity with Python, Deep learning, Machine learning, Image processing, Image reconstruction and computer vision.
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