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of perceptual foundation models, using advances in deep machine learning and computer vision. The goal is to invent, develop and evaluate novel methods for pre-training and fine-tuning of perceptual foundation
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combustion environments. Alternative fuels have a different chemical composition from natural gas, which would change depending on the production method used. These unique compositions would translate
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edge applications. Tasks and responsibilities: Develop new deep learning, computer vision and multimodal learning methods for pre-training and fine-tuning perceptual foundation models. Actively
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the context of diabetes. Together with the principal investigator, the candidate will plan, execute, and analyze the results of experiments using established laboratory protocols (or other relevant methods
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effective diagnostic methods and treatment protocols. The overall purpose of this research project is to identify biomarkers and develop effective antimicrobial strategies to prevent infection and
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | 1 day ago
them to work on innovative research topics and to develop and apply the scientific methods appropriate to their research topics. Course organisation During the three-year programme, doctoral students
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the objectives and methods of the thesis project with partners and stakeholders by adopting a mixed-methods approach. The recruited person will combine participatory mapping approaches, semi-structured interviews
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) with an interest in ecology and evolution Demonstrated experience with mathematical modelling, and an ability to learn new concepts and (computational) methods as needed Affinity with scientific computer
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responsibilities for the Research Assistants are: Learn psychophysiology data management and processing methods Implement data management, preparation, and processing methods with participant files with detail
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of the documents referred to in III.2.3. are produced in a different language, a translation document into English shall be delivered. III.4. Applications that are not duly instructed or do not fulfil the formal