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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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minimum of one year eligibility remaining. Strong skills in technical programming languages, e.g., Matlab, Python, or C++; in computational statistics, i.e., unsupervised and supervised ML methods, incl
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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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and collaborative researcher with expertise in engineering, materials science, or related computational fields to contribute to our research program focused on transport packaging optimization and
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motivated and collaborative researcher with expertise in engineering, materials science, or related computational fields to contribute to our growing research program in sustainable food packaging. Current
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collaboratively in interdisciplinary teams. Preferred Qualifications - Experience with stakeholder engagement or extension programming. - Familiarity with statistical software (e.g., SPSS) and qualitative analysis