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Job description We are recruiting 2 postdocs to contribute to research projects in the Mathematical Modelling of Infectious Diseases Unit, at Institut Pasteur in Paris. The postdocs will develop
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in vivo models to replicate disease. We are particularly interested in the effects of exercise on the development of bone lesions, and the potential role played by mechanosensitive osteocyte cells in
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for the Modeling of Biological and Sociotechnical Systems (MOBS Lab) within the Network Science Institute at Northeastern University. MOBS Lab focuses on research projects aimed at developing innovative mathematical
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database modeling, creation and implementation of functionalities and interactive interfaces, case study development and analysis, and repository management and documentation of technological processes
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to environmental, nutritional, and economic analyses, support the development of new modelling approaches and datasets, and collaborate on high-impact research outputs and publications. You must hold a PhD/DPhil in
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QUALIFICATIONS: • PhD in Electrical and Computer Engineering, Mechanical Engineering, Physics, or a closely related field. • Demonstrated expertise in MEMS/NEMS design and modeling, including finite element
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Postdoctoral Research Associate in Computational Modelling and Design Optimisation to work closely within a multi-institutional team comprising HDR and Honours students, as well as external collaborators across
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. You will develop thermal material/device thermal models for device design using finite element and other simulation tools and support short-term industrial contract. Postgraduate (PhD) experience in
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of these reusable packaging using IoT sensors and deep learning techniques embedded in the sensors. During the preliminary work, neural network models were developed to perform simple tasks using accelerometer data
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observed at the sites studied. Depending on the AI skills of the person recruited, he/she will run existing models, particularly those developed at LISTIC [Barlet-2025], and retrain them on this type of data