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, traditional risk prediction models like the Steno Type 1 Risk Engine fail to account for the immunological dysregulation inherent in T1D. Project Objective The PhD candidate will primarily focus on the clinical
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Description of the offer : This PhD project supports the exploration of Vertical Compute’s vertical magnetic device concept. Thanks to the inherent high speed of magnetics and the vertical data
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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of Europe in the 20th and 21st centuries. It serves as a catalyst for innovative and creative scholarship and new forms of public dissemination. Your role Conduct a PhD Thesis Contribute to our dedicated
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exciting opportunities for machine learning to address outstanding biological questions. The PhD student to be recruited will be working on the development of machine learning methods for single-cell data
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Technology Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices
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study and other ongoing translational initiatives to develop a voice-based digital health solution to alleviate the diabetes burden. Project objective The PhD candidate will work at the interface
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live in. Your role We are seeking a highly motivated and talented Doctoral Candidate (PhD Student) to join our research team focused on melanoma drug resistance. The successful candidate will engage in
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and neural computation. By leveraging the rich data repository on the larva’s neural connectome and muscular structure, the project seeks to create accurate simulations that can inform biological
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(e.g., supporting others and asking for support when needed) Optionally, the PhD candidate may have the opportunity to participate in teaching and student supervision For further information, please