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Declaration of interest regarding PhD project within the field of biomarker and therapeutic targe...
. The PhD student will work with patient cohort to perform biomarker analyses and statistical modeling of clinical outcomes. In parallel, the student will contribute to the development and validation of novel
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About us VIB.AI, the VIB Center for AI & Computational Biology, is a research center dedicated to integrating machine learning with deep biological insight to understand complex biological systems
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-mode trap instruments supporting both collisional- and electron-based dissociation Contribute to spectral annotation workflows in collaboration with a computational postdoc Disseminate findings through
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, quantum computing and quantum cybersecurity applications? Can we scale-up multiphoton platforms by using integrated optics, quantum-dot single-photon sources and customized two-dimensional nonlinear
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developing the competences of the IML group within prediction of T and B cell immunogenicity and immunoinformatics in general. You will work with nearby bioinformatics, postdocs and PhD students working
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you! Responsibilities and qualifications The PhD scholarships address four exciting topics. For all positions, you will collaborate closely with a group of PhD students, postdocs and international
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quantum scientists on campus and around 300 quantum researchers in Vienna. The Dakić group is an international team of scientists (Master's, PhDs, and Postdocs). Our expertise encompasses quantum
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Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Electrical and Computer Engineering programme. The position
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position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement
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site in Heidelberg, invites international students holding a Master’s degree in (molecular) biology, (bio-)chemistry, (bio-)physics, computational biology, computer science, epidemiology / public health