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Microalgal-Bacterial Symbioses Princeton University, laboratory of Mohammad Seyedsayamdost Suzana Leles, Ph.D. Reconciling theory to predict the evolutionary trajectories of mixotrophic protists University
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(www.owenslab.org ) are seeking a curious and motivated post-doctoral researcher to join our ongoing investigation into the ecological costs and evolutionary consequences of insect flight-to-light behavior
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design and reinforcement learning algorithms. We combine statistical methods with online reinforcement learning algorithms to provide inferential tools. The successful applicant will be expected to develop
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research team. Key research areas include: Development of low-carbon materials and tunable thermal energy storage materials integrated with smart sensors and advanced algorithms Creation of Digital Twins
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Details Title Postdoctoral Fellow in Terrestrial Ecosystem Dynamics School Faculty of Arts and Sciences Department/Area Organismic and Evolutionary Biology Position Description Harvard University
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-photonic computing architectures; Silicon-photonic network architectures Machine Learning Algorithms/Systems: Experience in design and use of ML algorithms; Experience in using ML for designing computing
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clinical pulmonologists and immunologists to study the molecular mechanisms that underly airway tissue homeostasis and asthma pathogenesis. In addition, our group aims to develop new computational algorithms
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field. Our work will be at the intersection of stem cell, developmental, and evolutionary biology, so we are particularly interested in candidates with a strong research background in: -Embryonic stem
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will be at the intersection of stem cell, developmental, and evolutionary biology, so we are particularly interested in candidates with a strong research background in: -Embryonic stem cells and/or
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. Builds internal code design and development guides for future contributors, Conducts quality assurance to ensure the reproducibility of analyses, documentation of methods and algorithms, and use