Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
degree in related areas. The positions are open to Brazilian and foreign researchers. Proficiency in Portuguese is required to facilitate the environment of discussion and co-production with the different
-
make a difference in the world! Position Information We are seeking a Postdoctoral Research Associate to assist the project leader (Dr. Srinivasulu Ale, Professor of Agrohydrology) in research projects
-
The emergence of new optical technologies combined with molecular sensors and advanced computational tools has led to significant advances in understanding how the circuitry and dynamics of neuronal populations
-
-based sensor data to enhance the prediction of peatland soil properties and functions. You will focus on leveraging machine learning/deep learning techniques along with explainable artificial intelligence
-
-based sensor data to enhance the prediction of peatland soil properties and functions. You will focus on leveraging machine learning/deep learning techniques along with explainable artificial intelligence
-
mechanism using surface on in-volume spatial variations. Structural health monitoring (SHM) and smart structures for composite infrastructures: Wireless surface gauges and integrated sensors, SHM/NDT/Inline
-
nanomaterials to novel cellulose-based textiles. Key responsibilities Conduct a comprehensive sustainability background analysis of different material options for optically adaptive textiles including sensors and
-
National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 3 months ago
structure and function. Airborne remote sensing offers unique flexibility, including the potential to combine different sensors on a single platform and to acquire data at the scale of individual trees
-
spectroscopy data, benchmarked against classical DNA profiling. For this, we are now looking for a postdoc who will assemble a database of Raman spectra describing different microbial species, both in bulk and
-
communication and collaborative skills. Experience with SLAM, sensor fusion, LiDAR/depth camera data processing. Familiarity with deep learning for obstacle avoidance (e.g., map-less navigation). Background in