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driving the integration of methods in artificial intelligence (AI) and machine learning (ML) to improve and optimize workflows when developing therapeutic antibodies. Duties – what we expect from you As an
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., information inference); Intersection between regulatory and technical aspects (EU NIS-2 Directive), e.g., compliance optimization and automatization. The PhD students will belong to the graduate school within
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predictive of distant metastasis. 4. Apply and optimize AI-ML models based on the large datasets to identify and validate the oncogenic pathways and drug targets for designing targeted therapy. The findings
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community. The fact that you are present and active is something we see as self-evident in order to ensure that you are able to perform your duties in an optimal way and enjoy your working community
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than 40 PhD students and postdocs. Research at the DSAI ranges from foundational methods in machine learning (e.g., optimization, bandits and reinforcement learning) to application domains in biophysics
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having resided in the country of the host institution for more than 12 months in the last 36 months). Mandatory: Master’s degree in Systems Engineering, Control, Optimization, or related field. Strong