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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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of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
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through sensitivity, uncertainty, and scalability analyses. – Enhance the computational efficiency of large-scale optimization problems by exploring decomposition techniques, parallelization, and
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, translational, and experimental approaches. The PhD student will work with patient cohort to perform biomarker analyses and statistical modeling of clinical outcomes. In parallel, the student will contribute
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Framework Programme? Not funded by a EU programme Reference Number CNS2023-145425 Is the Job related to staff position within a Research Infrastructure? No Offer Description Descifrando la vulnerabilidad
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) The Institute of Computer Engineering (ZITI) at Heidelberg University invites applications for one research assistant position with the possibility to do a PhD in parallel at the chair of computer architecture
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parallel, it produces new, high-resolution computer models of the warm Last Interglacial period. Finally, PAST creates new knowledge by synthesising these two approaches through advanced statistics. This PhD
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through participatory design sessions with nurses, integrating the computational models (developed by another PhD candidate working in parallel on sound modelling) with user experience requirements, while
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Framework Programme? Horizon Europe - MSCA Marie Curie Grant Agreement Number 101226599 Is the Job related to staff position within a Research Infrastructure? No Offer Description Overview of the project and
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high-resolution, quantitative time-lapse soil property measurements using high-performance, parallel computing. Together with our existing rich dataset, we will inform a soil-plant digital twin, enabling