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Program
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Field
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intersection of human-robot interaction and manipulation in healthcare settings. The project involves developing algorithmic solutions for an optometry application where robots assist optometry patients
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; apply the developed methodology to complex heterostructures The postdoctoral researcher will be recruited within the Chemical Theory and Modelling team (http://www.quanthic.org ) of the Institute
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on the development of algorithms for ECG signal analysis and validation of novel biodegradable ECG electrodes. The contract will be within the framework of the “Green Electrodes for Sustainable Electrophysiology
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preparing libraries for next-generation sequencing (NGS) as well as nanopore sequencing, along with the ability to analyze sequencing data using bioinformatics algorithms. Proficiency in developing algorithms
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databases. Design, implementation, and testing of deep learning and AI algorithms for processing tabular, genomic and temporal data. Where to apply Website https://www.uam.es/uam/investigacion/ofertas-empleo
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. Create predictive algorithms for the occurrence of cyanobacteria blooms; 3. Support field activities, process large volumes of data, and contribute to scientific publications. Requirements: • PhD in areas
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Oceanic and Atmospheric Administration (NOAA) Cooperative Institute for Research to Operations in Hydrology (CIROH; https://ciroh.ua.edu/). CIROH, headquartered at the University of Alabama (UA), consists
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | about 6 hours ago
transfer algorithms for NASA GISS‘s general circulation model (GCM) to study radiative interaction and feedbacks between various atmospheric constituents and the climate system. Potential specific topics
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learning. Your job In the ERC project FoRECAST, we aim to develop theory (e.g., new probabilistic and differential inference algorithms as well as proofs of their correctness and efficiency) and systems (e.g
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an excellent publication record. Solid research experience in one or more of the following topics is expected: Graph neural networks Optimization algorithms Predicting structured output Self-supervised learning