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Fundació Privada Institut d'Investigació Oncològica de Vall d'Hebron (VHIO) | Spain | about 18 hours ago
Maus* et al, Immunity, 2017). 3. Metabolic senescence of cells (Maus et al., Cell Metabolism, 2017) contribute to cancer. The lab works with mouse models, in vitro models, and with human specimen
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of science to society. As a modern employer, it offers attractive working conditions to all employees in teaching, research, technology and administration. The goal is to promote and develop their individual
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on the following tasks with either with a stronger model-development or application focus: Design knowledge-graph-augmented transformers and retrieval-augmented generation (RAG) pipelines that enable
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the eligibility of PIML / PINN models in both open and closed-loop contexts; - Derive the necessary conditions for that eligibility (data to collect, model architectures, training procedures, …); - Implement PIML
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susceptible to SM, VWC, and atmospheric delay. As a result, the objective of this PhD project is to develop models able to fuse backscattering and phase information to estimate SM and VWC more accurately. The
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statistical analyses on large databases Designing and running experiments Structural modelling and related econometrics Proving theoretical results Basic Qualifications Bachelor’s degree by start date (required
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, collaborative teamwork and independence. These key characteristics make EIPP a role model, which has inspired similar programmes at research institutions throughout Europe and the World. Find out more about the
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and transfer of science to society. As a modern employer, it offers attractive working conditions to all employees in teaching, research, technology and administration. The goal is to promote and
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-being both now and in the future Extensive options for secondary employment conditions: You can explore options such as sabbaticals, paid parental leave, and the individual choices model, which allows you
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
nano-structures. In this project, we will combine numerical models, experiments, and artificial intelligence (AI) to guide the design of specific DNA nanoconstructs. The primary goal is to build an AI