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Field
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modelling (diffusion/transformers), multimodal representation learning, and experience in computer graphics/animation. Strong programming skills, especially in Python. Ideally, you have experience with
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multiple systems Driving use-case studies that demonstrate the benefits of semantic integration, e.g. in scheduling, resource sharing, or formulation optimization Collaborating with chemical engineers
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novel mathematical approaches for mapping between distinct embedding spaces Supervise and mentor the PhD student Coordinate technical integration across multiple work packages Drive innovation in low
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complex research projects involving multiple interdependent components. Experience in programming (python) and applying AI-assisted technologies to streamline research and analysis workflows is highly
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microbiome has direct relevance for human health. Bile acids (BAs) offer a powerful, tractable window into these questions. Synthesized in the liver and released into the gut, host-derived BAs undergo multiple
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achieved by combining state-of-the-art algorithms from multiple domains such as evolutionary algorithms, reinforcement learning, and control theory. The main responsibility of the successful applicant will
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-resolution MS platforms is a strong plus Willingness to manage and initiate cooperative projects Service-oriented mind-set with excellent organizational and communication skills; ability to manage multiple
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of mouse behavioral paradigms is required. Extensive computer programming experience in python or Matlab and the ability to deal with large, complex datasets are required. Experience with preparation and
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background in scientific data visualization, uncertainty quantification, AI/ML, statistics or a related field. Proficiency in Python and C++ programming languages. Excellent written and oral
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on social vulnerability to hazards. The researcher will have the opportunity to work on multiple projects, investigating (a) cumulative environmental impacts, (b) the use of census microdata for social