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in one of Europe's most dynamic industrial regions. With over 22,000 students and more than 5,800 employees, we are a reliable partner for knowledge and technology transfer and one of the largest
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the copan:LPJmL modelling framework (https://copanlpjml.pik-potsdam.de) to investigate the co-evolution of human land management decision-making and biophysical land dynamics. By explicitly coupling social
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modeling of complex, multi-site datasets. In this role, you will bridge the gap between complex data infrastructure, cutting-edge machine learning, and synthetic data generation—building automated
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! And more: https://www.bowdoin.edu/hr/benefits-perks/index.html Education/Skills Requirements Doctoral Degree required Working knowledge of all aspects of planning and deploying an AI project, including
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: Experimental skills in the mechanical characterization of fiber reinforced composites or polymers; experience with fatigue testing is desired. Theoretical knowledge and skills in the modelling of (failure
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of frailty among older people in Brescia. The project involves an observational study and epidemiological analysis of anonymised data to develop predictive models for health and social care planning
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bioeconomy systems and quantitative analysis. Experience or documented knowledge in one or several of the following areas is desirable: systems analysis, modelling or scenario analysis; GIS and spatial
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at https://biffilab.wordpress.com Pancreatic ductal adenocarcinoma (PDAC) remains a formidable clinical challenge. A major recent advance has been the development of KRAS inhibitors, which have shown
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(100%, E 13 TV-L, 3 years + possible extension, m/f/d) We seek a highly-motivated postdoctoral research fellow with strong expertise in cognitive computational modeling and an interest in applying
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biomedical data types Machine-learning and statistical modelling Mechanistic models of biological systems Python, R or equivalent programming environment Documented knowledge and experience in cancer biology