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. Working within a collaborative, supportive, and industry-connected research environment, you will contribute to applied research that advances soft sensor development, process modelling, comminution, and
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climate change pest research / collaborate in open, inclusive biophysical ecology group / deep computational work with the Julia programming language Apply now to shape predictive models that guide pest
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, econometrics models) applied to economic modelling. Preferred Factors: Will be considered preferred factors: • Excellence of academic background (namely regarding the courses' component of the doctorate program
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, you will gain significant knowledge and experience related to the modeling and analysis of weapons systems interactions with targets and the response and damage of targets to weapons effects. Where will
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, network analysis, and mathematical modelling — with opportunities to pursue independent research. Curious to learn more? Read further to discover more about this opportunity. The team The successful
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
modelling and stepped revetments; development of pre- and post-processing scripts to analyse numerical modelling simulations; implementation of a phase-resolving wave model to simulate wave propagation and
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) Research Fellowship for Master degree holder, within the scope of the R&D project “Radio4Breast - Mapping the potential of human breast-on-a-chip models for personalized radiation therapy, reference 16134
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
’ which involves the compilation of Australia attitudinal survey information, small-area modelling of demographic characteristics, and application of scenario modelling. This project aims to understand more
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recirculating flumes, velocity measurement systems, spectroscopic tools, and numerical modeling platforms, to investigate hydrologic and sediment processes. Works closely with USGS scientists and University
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or photogrammetry methods, in combination with data science approaches such as machine learning and data assimilation via cryospheric models. A main focus of this work is snow and glaciers in the mountains around the