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, Massachusetts 02215, United States of America [map ] Subject Area: Communications Appl Deadline: 2026/08/01 04:59 AM UnitedKingdomTime** (posted 2026/03/09 04:00 AM UnitedKingdomTime, listed until 2026/08/01 04
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, Massachusetts 02215, United States of America [map ] Subject Area: Computer Engineering / machine learning and other related areas Appl Deadline: none (posted 2026/03/06 05:00 AM UnitedKingdomTime) Position
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) Familiar with GIS data entry and map generation. Preferred Qualifications SCUBA diving in currents, e.g., streams or rivers Experience collecting mussels from natural conditions Previous experience handling
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spectral ranges, such as VNIR, SWIR, and MWIR. Based on these heterogeneous datasets, spectral libraries with an extended spectral range will be generated and used for material mapping and classification
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RPTU University Kaiserslautern-Landau • | Kaiserslautern, Rheinland Pfalz | Germany | about 20 hours ago
: https://rptu.de/en/international/home RPTU University Kaiserslautern-Landau University location Activate map To activate the map, click on the "Show map" button. We would like to point out that data will
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, Lower Austria 3400, Austria [map ] Subject Area: Geometry and Its Interfaces Appl Deadline: 2025/12/02 04:59 AM UnitedKingdomTime (posted 2025/10/01 05:00 AM UnitedKingdomTime) Position Description
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, China [map ] Subject Areas: All fields of mathematics, theoretical physics, computer science, and their applications Appl Deadline: (posted 2025/10/23 05:00 AM UnitedKingdomTime, listed until 2026/10/29
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Lab setting, operation of Mac Lab/Cardio Lab, endocardial mapping equipment including but not limited to Biosense Webster and Carto, as well as experience with assisting the physician in the scrub role
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of the Department of Geodesy and Geoinformation, TU Wien is seeking a motivated Project Assistant (any gender) to work as a Researcher in trajectory estimation, satellite navigation and high resolution LiDAR mapping
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, the project proposes to also use machine learning techniques to learn parts of the prior and penalty structure from data in an interpretable way. Examples include mapping liquidity and volatility features to a