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phenology, run established research protocols, and modify and develop new procedures to achieve research goals. Moreover, the incumbent will collect, process, and analyze field and laboratory data and help
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. Work Plan: The main tasks of this plan are: 1) Development of LAMP and lateral flow strip methodologies for the specific identification of insects in processed foods; 2) Development of real-time PCR
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 9 days ago
inform representations and encoder adaptations. This activity will provide hands-on experience in making three-dimensional vegetation structure accessible within data-driven geospatial modeling processes
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of detailed curriculum vitae structured according to the items under point 5; c) Other documents that are relevant for the evaluation of the qualification in related scientific areas; d) Any other documents
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an interdisciplinary research team developing an AI-enabled framework that translates high-level mission objectives into deployable communications signal-processing (DSP) solutions. The role combines
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information about LIACS, see https://liacs.leidenuniv.nl/ What you bring Ph.D. degree in computer science, acoustics, signal processing, or a related field; Good publication record in ML, and/or computational
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of electrochemical processes with enzymatic catalysis for the selective and sustainable synthesis of value-added chemicals, including the conversion and upgrading of CO2 , biomass-derived molecules, and other small
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will be involved in quantum sensing experiments (temperature/magnetic field) that may involve novel materials such as point defects in 2D materials (e.g., in hexagonal Boron Nitride and related) and
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and economy that respect people and their environment. We are looking for our next postdoctoral researcher in computer graphics and machine learning to join the Image, Data and Signal (IDS) department
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: ● Human-Centered Applications: Familiarity applying ML in areas like healthcare, education, neuro-robotics, and/or assistive technologies. Prior experience in physiological signal processing (e.g., EMG, EEG