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of renewable energy into the power grids is increasingly influenced by self-consumption, local storage, and electromobility. Knowing the feed-in is important for grid operators to ensure operational control and
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intelligence, computer algebra, computational logic and automatic reasoning Experience with SAT, SMT, QBF, MaxSAT Experience with algorithmic methods for commutative and noncommutative polynomials Experience in
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-source surveillance for developmental and intellectual disabilities among children using methodology developed by the Centers for Disease Control and Prevention (CDC) • Travel regularly to schools
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compliance with regulatory requirements. ● Enter all collected study data within 48 hours of the study visit and resolve discrepancies promptly. ● Perform regular Quality Control checks
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fellow devotes most of their time to research. There is the possibility of teaching up to 20%. Requirements Requirements PhD degree in in machine learning, automatic control, system identification, signal
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Candidates Department EHH BSOM CVS Primandsec Prev Department Homepage https://heart-vascular.ecu.edu/ Advertising Department CARDIOVASCULAR SCIENCES Division ECU Health/BSOM Classification Title Clinical
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submitted after this date. All positions automatically close on March 31, 2026. Note: All positions at Fresno State are subject to funding availability. Apply online at: https://careers.fresnostate.edu
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to numerous satellite sites of care across the region with the goal of providing care ‘close to home’ whenever feasible (https://pediatrics.uchicago.edu/). Our mission is to improve the health of every child
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leading-edge control theory / mathematical systems theory research at a high international level. The recruited applicant will be expected to publish outstanding research in IEEE Transactions on Automatic
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leading-edge control theory / mathematical systems theory research at a high international level. The recruited applicant will be expected to publish outstanding research in IEEE Transactions on Automatic