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of the interactions between building stocks, heat and cooling demand, and electricity distribution networks. They will develop new computational approaches, contribute to the expansion of existing modelling tools, and
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2nd October 2026 Languages English English Norsk Nynorsk English PhD Research Fellow in Remote Sensing and modelling of alpine vegetation change Apply for this job See advertisement UiB - Knowledge
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of Excellence to improve outcomes in HCC. You will oversee the preclinical models of liver cancer and administrative activities, in line with the overall programme. This implies perform and support in vivo work
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. Dairy Forage Research Center (DFRC) has an opportunity for a Post Doctoral Research Fellow to engage in a process and statistical modeling research opportunity focused on improving nutrient use efficiency
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prediction of regional climate and extremes using hybrid physics-AI models. About the project/work tasks There is a growing need for subseasonal-to-seasonal (S2S; 2 weeks to 12 months) predictions of regional
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Sep 2026 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 Offer Description Call for
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physics. You will undertake high-impact research using data from the Large Hadron Collider (LHC) Run 3, with a focus on better understanding the Standard Model and identifying potential Beyond the Standard
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with stillbirth, ultimately enabling real-time, objective in-home monitoring to identify at-risk pregnancies. This aim of this role is to develop a biophysical computational model which is capable
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The University of Texas MD Anderson Cancer Center | Houston, Texas | United States | about 11 hours ago
. The laboratory combines human tissues with genetically engineered and carcinogen-associated mouse models, lineage tracing, organoid systems, preclinical intervention studies, and state-of-the-art single-cell and
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models Identify the weaknesses of existing models for the targeted project applications. Propose and develop state-of-the-art computer vision techniques to overcome existing challenges Train and evaluate