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Field
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classification accuracy assessment. ii) Involved in supporting an electrophysiology-based machine learning model to predict dormancy break. You will be part of a multidisciplinary academic and industry team
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. Desirable: Proficiency in scientific programming (e.g. Python) and familiarity with data science and machine learning techniques. Experience with geochemical analytical techniques and working in a laboratory
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(Python, JavaScript), deep neural networks and computer vision; Design and implementation of database systems; Design and implementation of application programming interfaces, server-based and cloud
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Radio Frequency (RF) Systems: Extensive knowledge on network management and control Software Defined Radio (SDR): Data Analysis and Processing Programming and Software Development AI/Machine Learning (AI
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for (Selection Criteria): Essential: A doctoral qualification in a relevant engineering, computing, or physical sciences discipline. Demonstrated research expertise in data analytics, machine learning, artificial
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Human-Computer Interaction, Information Science, Computer Science, Design, or related fields - Strong record of published research in HCI, CSCW, DIS, or related venues - Demonstrated ability in
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limited to, multi-agent search, sim-to-real, and modeling of dynamic systems with modern machine learning technique. Beyond research, the candidate will develop project ideas both independently and within a
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at Northeastern. (10%) Required Qualifications: - Ph.D. in Human-Computer Interaction, Information Science, Computer Science, Design, or related fields - Strong record of published research in HCI, CSCW, DIS
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insurance plans (Medical, Vision, Dental) Generous Retirement Plan – 10.12% annual compensation contribution, no match or vesting required Life and Disability Insurance Paid Time Off: 20 days of vacation per
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in the health sciences, including fields such as healthcare informatics, movement and rehabilitation sciences, medical imaging, remote sensing, computer vision, mental health, data fusion