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, Software Defined Radio (SDR), Software Defined Network (SDN), Network Function Virtualization and Edge-computing systems design. Researchers will carry out research in network systems, with focus on large
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, the postdoctoral associate will help to coordinate evidence-based learning networks of NPS units and other educational organizations to (1) direct data collection and conduct research on their programs and
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human blood vessel disease. We aim to understand the inflammation and cell signaling mechanisms associated with vascular disease. Our lab uses in vitro and in vivo approaches to define and develop novel
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gathered will help define present-day coastal hazards and be incorporated into hazards assessments, such as tsunami inundation maps, that help prepare coastal communities for future catastrophic events
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. The successful candidate should also be detail oriented and enjoy a diverse working environment. Required Qualifications • PhD in biology, neuroscience, genetics or related field. PhD must be awarded no more than
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and networking, with a particular focus on 5G and Beyond 5G technologies and applications of artificial intelligence and machine learning to wireless systems. The candidate will oversee the design and
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geophysical and geochemical observations. Required Qualifications • A PhD in geophysics, planetary science, or related field of study by appointment start date. PhD awarded no more than four years prior
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Qualifications - PhD in neuroscience, computer science, or related field. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining
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graduate students. Required 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
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closely related field. PhD must be awarded no more than five years prior to the effective date of appointment with a minimum of one-year eligibility remaining. Preferred Qualifications - Knowledge