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of water transport in roots. This mechanism has been observed in various species following the identification of a new gene controlling root hydraulics. It reveals unexpected links between cellular
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-identification, and version control. • Collaborate with clinicians, engineers, and data scientists to integrate imaging biomarkers into predictive and diagnostic models. • Contribute to study design, IRB
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-identification, and version control. • Collaborate with clinicians, engineers, and data scientists to integrate imaging biomarkers into predictive and diagnostic models. • Contribute to study design, IRB
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fully funded PhD position in the area of safe data-driven system identification for cyber-physical systems, offered by our research group at the intersection of control theory, machine learning, and
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, effective cell therapy products; and (ii) integrated process analytics to monitor and modulate those attributes. This high-impact focus includes measurement and feedback control of processing parameters
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spectroscopy with plasmonic enhancement and solid-state nanopores to achieve label-free, flow-through detection and molecular identification at the single-molecule level. ESSENTIAL REQUIREMENTS A PhD in
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for the control of the most "difficult-to-manage" pests and pathogens in fruits and vegetables» short name “NextGenBioPest”, awarded to IMBB, invites applications for one motivated Postdoctoral Researcher Position
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research will involve Python scripting within the Thermo Fisher AutoScript environment to control operation of the microscope beam, stage, detectors, and spectrometers, with a particular emphasis on annular
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fellow devotes most of their time to research. There is the possibility of teaching up to 20%. Requirements PhD degree in machine learning, automatic control, system identification, signal processing
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scattering experts. Major Duties/Responsibilities: Conduct controlled depolymerization of polymers Synthesize novel polymers Operate and execute autonomous chemistry and their characterization Research