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development, employing machine learning techniques applied to industrial datasets, and in collaboration with industry. The applicant will work in the Software Engineering Theme, which is one of several Themes
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data scientist interested in health data science, bioinformatics and generative machine learning. The contract will cover 4 (1+3) years of employment, the first year as a research assistant, followed by
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methods for assessing generative AI’s compliance to GDPR. The purpose of the position is to build Bayesian metrics for privacy preserving AI(e.g., synthetic data generation, federated learning, and privacy
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is founded by Innovation Found Denmark. Responsibilities: In the project two main approaches are compared. One based on black/gray box machine learning methods and another one on gray/white box data
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from MRI and MEG modalities, with the goal to publish in a peer-reviewed journal. Moreover, you will be involved in the design and implementation of novel machine learning techniques, utilizing both
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background and the group at www.healthtech.dtu.dk/Isoform-Analysis Responsibilities Your objective will be to use probabilistic modeling and machine learning to create bioinformatic tools and databases
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/Isoform-Analysis . Responsibilities Your objective will be to use probabilistic modeling and machine learning to create bioinformatic tools and databases that enable and inspire other researchers to analyze
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be expected to participate in the department’s teaching and supervision activities and teach and supervise at BA and MA levels. Given the international focus of the degree programmes, the successful
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improvements in machine learning have dramatically improved the accessibility of de novo protein design. In this project, we seek to exploit these developments to interrogate the role and mechanisms of receptor