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; Solid knowledge of statistics; Experience using machine learning methods and large language models (LLMs) for research; Experience in building and/or using large cultural datasets. We encourage
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parameters, digital twins, as well as complex nonlinear problems where AI-based methods such as deep learning are used to obtain better predictions. Connections to machine learning methods are primarily
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, artificial intelligence (AI), and socio-economic analysis. This program will equip them with advanced expertise in reservoir modelling, machine learning, advanced oxidation processes (AOP), and microbial
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adapters should be created and tested for previously selected detection methods, which can reliably bypass these detection methods. Be part of change Researching and implementing novel machine learning
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Responsibilities Conduct research in computational methods for environmental and engineering applications. Develop and analyze numerical algorithms, reduced-order models, and machine-learning-enhanced simulation
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 3 months ago
. Experience in machine learning algorithms and tools. Experience in microscopy and image analysis. Effective collaboration in interdisciplinary teams. Strong analytical reasoning and persistence in experimental
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Faculty of Medicine of the University of Cologne | German Cancer Research Center (DKFZ) | Gronau Westfalen, Nordrhein Westfalen | Germany | 3 months ago
research division within the NCT. You will analyze comprehensive, high-quality datasets and develop algorithms for the NCT-IIT program. In particular, machine learning methods should be developed to better
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project “Analytics for Learning with Machines” (ALMA) The position is TV-L E13, 75%, limited to 3 years, funded by the Deutsche Forschungsgemeinschaft (DFG). The project is a Franco-German collaboration
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programming skills in Python; initial experience with machine learning frameworks such as PyTorch or TensorFlow Initial practical experience from a master's thesis, study projects, internships, or open-source
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(Computer Science), in the research group “Computer Graphics and Virtual Reality” of Prof. Gabriel Zachmann, within the EU project SENSORAMA (Horizon Europe), we are seeking to fill the following position