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responsibilities. Job Description: Dr. Feifei Xiao's laboratory (https://directory.ufhealth.org/xiao-feifei ) at the University of Florida's Department of Biostatistics (https://biostat.ufl.edu/ ) is accepting
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data analysis methods to study biological memory circuits and their applications to machine learning. Building on recent work from the Fiete Lab, the role focuses on identifying principles of biological
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should hold a PhD in remote sensing, environmental sciences, geography, land system science, or a related field Experience with deep learning and remote sensing Experience with land cover mapping and
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. Familiarity with frameworks such as TensorFlow and Keras, as well as libraries including Scikit-learn, NumPy, and pandas; - Experience with machine learning models such as Extreme Learning Machine (ELM
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of photovoltaic solar potential Duration: 3 months Maximum Duration Including Renewals: 3 months Monthly Maintenance Allowance: €1,851.00 Where to apply Website https://fenix.tecnico.ulisboa.pt/fenixedu-admissions
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. For more information on the work of the group please see https://www.maynoothuniversity.ie/physics/our-research. This position is part of the CARINA project which is funded through a Research Ireland
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) Positions PhD Positions Application Deadline 27 Mar 2026 - 23:00 (Europe/Madrid) Country Spain Type of Contract Permanent Job Status Full-time Hours Per Week 37,5 Offer Starting Date 16 Mar 2026 Is the job
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FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria PhD in computer science, deep learning, or data science. Experience with multimodal models for biological data. Website
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the framework of the PEPR Sous-Sol project ORGMET conducted by a consortium of four French laboratories GET, INEEL/ESRF, LFCR and IPREM (https://www.soussol-bien-commun.fr/fr/appel-projets-2024/orgmet
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for the analysis of hyperspectral imaging data applied to pictorial layers, based on coupling physical radiative transfer models (two-flux and four-flux approaches) with machine learning methods. The researcher will