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and security challenges, build sustainable solutions, and provide expert perspective on using AI. Required Qualifications - PhD in computer science, statistics, data analytics, business administration
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. The candidate will apply a suite of statistical and physical models for integrating observations of different accuracies, improving predictions of future hazards. The work will further include research, writing
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protocols that can be implemented to advance fuels monitoring and management across the Commonwealth. Required Qualifications • PhD in Forest Resources or a similar discipline. PhD must be awarded
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· Ph.D. degree in Computer Science, Electrical and Computer Engineering, Computational Biology, Bioinformatics, Statistics, Mathematics, Biophysics, Physics, Chemistry, Biology or related fields. · PhD
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neural receiver, from reflecting intelligent surfaces (RIS)/integrated sensing and communications (ISaC) to network design using O-RAN, from statistical learning theory to software defined radio (e.g
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. Required Qualifications • Ph.D. in Packaging Science, Wood Science, Mechanical Engineering, Industrial and Systems Engineering, Wood Science, or related field. PhD must be awarded no more than four years
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, Paper Science, Wood Science, Mechanical Engineering, Industrial and Systems Engineering, or a related field. PhD must be awarded no more than four years prior to the effective date of appointment with a
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collaboration. Required Qualifications - Ph.D. in Forest Products, Forestry, Natural Resources, Sustainability, or a related field. PhD must be awarded no more than four years prior to the effective date
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Qualifications • Ph.D. in fisheries, biology/ecology, statistics, or related fields. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility
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2025, with preference for an earlier start. The position is planned for a minimum of one year, with high likelihood of, and preference for, extension. Required Qualifications - PhD in psychology or a