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Field
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(Python, MATLAB) for processing and analyzing large or multimodal datasets (e.g., neural activity and behavior). Experience working with quantitative behavioral or electrophysiological data collection
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) would be an asset Experience in utilizing programming/coding such as Python or Matlab would be an asset A clinical background (e.g., physical therapy, occupational therapy, medicine) would be an asset
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, MATLAB) Strong knowledge of intelligent sensing, system integration, and cloud computing Demonstrated ability to produce high-quality research outputs Experience with collaborative research, ideally
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preferred. Proficiency in computational tools such as MATLAB, Python, R, or machine learning applications in immunology is desired. Candidates should have a PhD in Chemistry, Chemical Engineering
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techniques (e.g., transcutaneous magnetic stimulation, near infrared spectroscopy, evoked potentials, electromyography) would be an asset Experience in utilizing programming/coding such as Python or Matlab
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spectroscopy, evoked potentials, electromyography) would be an asset Experience in utilizing programming/coding such as Python or Matlab would be an asset A clinical background (e.g., physical therapy
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, Matlab, R, etc.) is also advantageous. Department Contact for Questions Questions regarding the position or application process can be directed to: Prof. Van Stappen, Department of Chemistry, Indiana
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operation · Application of artificial intelligence or machine learning in energy or engineering systems 5. Strong programming and modelling skills using relevant tools such as Python, MATLAB
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, including fitting and manipulation of large array-type data sets (using Python, Matlab or equivalent) Ability to communicate well, and work within a collaborative team environment Preferred Knowledge, Skills
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Abilities Training and/or experience with: Programming of behavioral experiments and data analysis (MATLAB, Python, or equivalent), eye-tracking software and hardware (Eyelink or equivalent), MRI, eye