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with a PhD in Biology, Ecology, Geosciences, Earth System Science, Environmental Sciences, or related fields and proven experience in computational modeling of vegetation to conduct research
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position within a Research Infrastructure? No Offer Description This post-doctoral fellowship is intended for the development of a comparative study on international models for addressing and managing open
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) for seismic data prediction. The use of neural networks to predict seismic velocity models has shown increasingly accurate and efficient results. The proposed technique will incorporate region-specific
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dataset generation technique to optimize the training of neural networks (NNs) for seismic data prediction. The use of neural networks to predict seismic velocity models has shown increasingly accurate and
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to staff position within a Research Infrastructure? No Offer Description CIATec selects 1 FAPESP Postdoctoral Fellow to work on the development of predictive models and recommendation systems, based
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Resources into Bioproducts and Bioenergy.” Required Expertise The candidate must demonstrate proven experience in: - Renewable hydrogen production; - Proficiency in thermochemical modeling and process
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. Familiarity with frameworks such as TensorFlow and Keras, as well as libraries including Scikit-learn, NumPy, and pandas; - Experience with machine learning models such as Extreme Learning Machine (ELM
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potential in preclinical experimental models. Requirements: Applicants must have obtained their PhD within the last five years and have experience in the study of non-conventional lymphocyte populations, as
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optimization, velocity modeling, seismic characterization, geological CO2 storage. Abstract: This research project aims to improve the FWI workflow in order to obtain accurate results even under limited initial
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staff position within a Research Infrastructure? No Offer Description The project aims to develop and validate advanced Artificial Intelligence models for automated segmentation and prognostic assessment