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use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities are experimentally driven and
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, computer science, biomedical engineering, or a closely related area. You will have experience in one or more of the following: (non-autonomous) dynamical systems, complex networks, bifurcation theory
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department and the Plant Reproductive Strategies (SRP) team. Our team focuses on the evolution of plant reproductive systems, using diverse approaches including theory, experimentation, bioinformatics, and
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prior experience conducting social science experiments (lab, lab-in-the-field, online, and/or field). Researchers working at the intersection of experiments and other methods (theory, empirical) as well
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areas is preferred and will help the candidate succeed: X-ray absorption spectroscopy theory and modelling, and handling large synchrotron/X-ray datasets. Experience with vector databases (e.g. Pinecone
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Expertise in one or more of the following areas: quantum gravity, renormalization group methods, effective field theory Prior postdoctoral and/or co-supervision experience is highly desirable Excellent
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storage, and optics. From AI modelling of materials and biological complexity to the design of multifunctional micro- and nano systems, we combine theory, fabrication, and innovation to tackle challenges in
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, JR102187] Position Title: Position Type: Postdoctoral Position Location: Upton, New York 11973, United States of America Subject Areas: Condensed Matter Physics / Quantum Condensed Matter Theory , Quantum
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project, you will Develop theory and a statistical method to estimate genetic variance components in populations under selection (together with colleagues). Validate the new method using simulations
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. Responsibilities: This position is ideal for candidates who enjoy working across theory, experiments, and systems-level thinking, and who want their work to shape how humans interact with intelligent machines