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Field
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- commensurate with experience Type of Position Temporary Position Time Status Full-Time Required Education PhD or terminal degree in a related field. Required Related Experience Experience performing experiments
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of Position Staff Position Time Status Full-Time Required Education PhD Required Related Experience Completion of APA-Accredited Internship Required License/Registration/Certification None Physical Requirements
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/Statistics, Medical/Health Informatics. Strong computational and programming skills with abilities to develop cutting-edge large-scale machine/deep learning algorithms using high-performance computing (HPC
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Skills General office suite and willingness to learn lab-specific programs. Supervisory Responsibilities No Required operation of university owned vehicles No Does this position require direct animal or
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health and disease under the direct supervision of Dr. Jonathan Kirk. Minimum Education and/or Work Experience M.D. or PhD Required Qualifications Certificates/Credentials/Licenses NA Computer Skills
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Qualifications: PhD in experimental particle physics at the time of appointment. Preferred: Deep understanding of the particle detectors, particle identification, data analysis Machine learning experience is a
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to learn more about what the Bangor region has to offer. Qualifications: Required: PhD in Food Engineering, Food Science, Chemical Engineering, Materials Science and Engineering, or Pulp and Paper Science
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physics. Participation in detector research and development, especially for low-latency event selection in trigger systems. Development of new artificial-intelligence and machine-learning techniques
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conditions, and brain tissue microstructure and functioning. The successful candidate will be working within a multi-disciplinary team of MRI physicists, computer scientists, radiologists, neuroscientists, and
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data, identifying structural errors in the dataset, and for maintaining a record of all steps from data extraction to dataset assembly · Fitting of machine learning models · Development of instrumental