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successfully applied to numerous protocols in the literature, providing security proofs or revealing new attacks. However, these formal (or symbolic) models do not allow for the modeling of probabilistic
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Researcher will conduct research on the dissection of the interplay between metabolism and epigenetics in T-cell Acute Lymphoblastic Leukemia (T-ALL) and additional leukemias using mouse models. The Visiting
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Ecole Nationale des Ponts et Chaussées (ENPC) | Champs sur Marne, le de France | France | 2 months ago
? No Offer Description Scientific overview: This PhD thesis aims at studying the impacts of climate change-induced permafrost thaw in the Arctic, by using advanced thermo-hydro-mechanical (THM) modelling
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(https://www.precisiononcology.ie ) and is funded jointly by Research Ireland and the National Breast Cancer Research Institute (NBCRI). The post is available from April 2026 to March 2029. The Dwyer Lab
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train 15 early-stage researchers to develop human-relevant neuroscience tools beyond animal models, advancing next-generation in vitro and in silico New Approach Methodologies for complex brain disorders
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), Computational Biology (stochastic and analytical models of gene expression), Signal Processing (machine learning, image and signal processing), Biophysics, Microbiology and Single-cell Biology (flow cytometry
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wind propulsion devices. The work will focus on data-driven modelling, routing optimization, and control strategies for wind-assisted vessels. Relevant research topics include voyage optimization under
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. This postdoctoral position at KTH focuses on developing advanced modelling frameworks and techno-economic analyses within two national research projects addressing virtual energy sharing and large-scale
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of the writing process, though we do provide training with our "grow-a-tutor" model. Perfect writing is not required, but a strong foundation and a willingness to learn are. A student tutor position is a great
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bioinformatics for immunology research programs. You'll work at the cutting edge of AI-enhanced immunology, applying deep learning, foundation models, and advanced machine learning approaches to understand how