-
an advantage Strong background in machine learning for image analysis and computer vision, ideally involving microscopy, time-lapse imaging, or other high-dimensional scientific imaging modalities
-
within the ICON Earth system modeling frameworks to investigate how uncertainties in the representation of ocean circulation and physical processes influence biogeochemical simulations, and to identify
-
Karlsruhe Institute of Technology - Institute of Applied Geosciences - Division of Geothermal Research | Karlsruhe, Baden W rttemberg | Germany | 3 months ago
transferability. Workflow integration for seismic monitoring and subsurface imaging: Integrate the developed processing and machine learning pipeline into the RUBADO analysis framework for near real-time or batch
-
to advance a novel compact gas pressure sensor based on a chip-scale mechanical oscillator with ultra-low intrinsic loss. Building on a successfully demonstrated portable prototype and identified application
-
operating across timescales from days to millennia. A central objective is to improve the representation of marine carbon, nutrient cycling and microbial processes in Earth System Models while increasing
-
to millennia. A central objective is to improve the representation of marine carbon, nutrient cycling and microbial processes in Earth System Models while increasing spatial model resolution to capture key
-
to millennia. A central objective is to improve the representation of marine carbon, nutrient cycling and microbial processes in Earth System Models while increasing spatial model resolution to capture key
-
; digital signal processing; computer-aided design of optical and photonic systems; LabView; MatLab/SimuLink) Scientific modules (Summer School; Karlsruhe Days of Optics & Photonics (KDOP); external