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pipelines. Tools for robust data and model provenance in adversarial environments. Methods for protecting training data and end users, including secure data removal and machine unlearning. Machine unlearning
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subsequently be integrated into treatment planning to mitigate the risk of lymphopenia. The implementation of such models has the potential to minimize radiation-induced lymphopenia and thereby improve post
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presence in Jönköping. Qulification For this position you need to have: a master degree in relevant subject. proficiency in model-based systems engineering (MBSE) directed towards aerospace applications
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Breast cancer screening by digital mammography (DM) saves lives by early detection! It is still limited by missed cancers and false positives. To address limitations, we have developed a prototype DBTMI
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organizations in a rapidly changing world. The employment When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each faculty is
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applications towards materials science. Generative machine learning models have emerged as a prominent approach to AI, with impressive performance in many application domains, including materials discovery
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and accepted to the PhD program at Stockholm University. Project description Project title: “Deep learning modeling of spatial biology data for expression profile-based drug repurposing”. A new exciting
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data (e.g., synchrotron X-ray microtomography), Design and use of autoencoders (VAEs, GANs), diffusion models, and other ML methods for analyzing and discovering patterns in probability distributions in
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experience within the field of microchip based acoustofluidics documented experience of COMSOL-modelling within fluid mechanics, acoustofluidics and microfluidics documented experience of acoustofluidic based
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production and environmental considerations and facilitate driving on forest land in extremely dry or wet conditions. We will develop different tools. First, we will model soil moisture in the upper soil layer