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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | about 2 months ago
of prey | Experience in conducting fieldwork, preferably in a remote environment | Experience with GPS-based tracking methods for wildlife | Experience in science communication and public engagement
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and conditioning best practices. Utilizes heart rate/GPS technology and other exercise physiological testing (in conjunction with the GW Exercise Science Department or outside providers) to enhance
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. Working with geospatial and mobility datasets (GPS trajectories, transit feeds, sensor data, demographic/socioeconomic data) Co-designing tools and analyses with municipal and MPO clients, including
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of integrated and inertial navigation. The working group deals with multisensor systems, i.e. the sensor fusion of GNSS (GPS, Galileo, GLONASS, Beidou), INS (inertial navigation system), cameras, LiDAR (light
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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Wildlife Sanctuary in Thailand. The Assamese Macaque Project at Phu Khieo Wildlife Sanctuary in Thailand has been running since 2005 (https://www.dpz.eu/en/social-evolution-in-primates/field-station
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Programmer Analyst 1 Requisition ID req35095 Working Title Programmer Analyst 1 Position Grade 12 Position Summary The University of New Mexico’s Center for Geospatial and Population Studies (GPS
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; coordinating documents and data throughout the selection process in the Global Program System (GPS), managing events and supporting the IIP team on the day-to-day activities. This includes communication with
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) Geographical information system (GIS) Geogame and digital twin with Unity or Omniverse Global positioning system (GPS), GNSS and IMU Image processing and computer vision Asphalt binder modification, asphalt
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Processes, Diffusion models, Flow Matching) and their applications to Bayesian inverse problems, and Literature review around constrained generative modeling or sampling/inference. Usage of GP models as an