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Max Planck Institute for Radio Astronomy, Bonn | Bonn, Nordrhein Westfalen | Germany | about 4 hours ago
. Project Objectives 1. Observational studies of AGN jet geometry, collimation and acceleration: Measurements of jet shapes from parsec-scale images. Multi-year kinematics and model analysis to probe
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their metabolic activities to understand their role in carbonate precipitation. The objectives of this work will be to: Map the New Caledonian lagoon and quantify the precipitated carbonate sludge. Model
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the impact on the predictive quality of a given model that is expected by retraining/fine-tuning it using additional datasets, as well as on predicting the expected cost/latency of such retraining/fine-tuning
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involves interdisciplinary research on the development and evaluation of large language models for low-resourced langauges, primarily focusing on Danish and other Nordic languages. The research will focus
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, heavily relying on clinician expertise. This project funded by the Hanarth fund combines ultrasound imaging with histopathology data to train advanced AI models for automatic tumor segmentation, enabling
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Demonstrated ability to conduct independent research in neuroscience Strong background in in vivo mouse models, mouse surgery and behavioral procedures, mouse handling and colony management, histology
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related field experience in the development of machine learning models using Python and pytorch expertise in two or more of the following technical areas: design of FPGA-based accelerators, high-level
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interpretation is subjective, heavily relying on clinician expertise. This project funded by the Hanarth fund combines ultrasound imaging with histopathology data to train advanced AI models for automatic tumor
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identical conditions, using Trichloroethylene (TCE) taken as a model molecule. In addition to physical measures, a methodology based on the analysis, in solution, of TCE and its degradation by-products will
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& NCO & CDO, etc.), and have demonstrable expertise in the analysis of big data, and the interpretation of climate/weather observations/reanalyses and model simulations. Additionally, experience with