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Scientific Computing and Model Analysis, Institute for Theoretical Sciences, Westlake University Appl Deadline: none (posted 2024/11/25) Position Description: Apply Position Description Group Introduction
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A postdoc position is immediately available at the Advanced Photon Source of Argonne National Laboratory. The postdoctoral appointee will develop ultrafast microscale photonics and MEMS
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 22 days ago
simulation tool for modelling hydrogen isotope transport in materials. The role is central to enhancing the scientific reliability and benchmarking capacity of FESTIM in support of fusion fuel cycle modelling
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Expertise in preclinical mouse models of cardiovascular disease Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job
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for the Quantification of Domain Uncertainty Propagation in Cardiovascular Models" as part of the Berlin Mathematics Research Center MATH+. The purpose of this position is to conduct research in the field of model
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techniques. Additional expertise in studying autophagy and using preclinical mouse models of cardiovascular disease are highly desirable. This is a full time post (35 hours per week), and you will be offered a
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assigned to the research project "Randomization of Surrogates for the Quantification of Domain Uncertainty Propagation in Cardiovascular Models" as part of the Berlin Mathematics Research Center MATH+. The
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the project goals. The successful candidate will be working closely with the project PI’s to generate and test hypotheses, develop and run model simulations, and report findings through presentations
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networks are controlled, to develop predictive models of methane cycling in northern rivers. This postdoc position will focus on assessing how stream methane emissions are linked to permafrost thaw, using
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these nanocomposites, we are looking for a postdoc to further develop high performance computing numerical methods in our state-of-the-art open source micromagnetic model, MagTense. MagTense is based on a core