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millifluidic environments by investigating the influence of select biopolymers and medium formulations on bacterial and nutrient transport. Fluidic layers will be designed to simulate relevant sediment grain
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monitoring and Fault Detection, Isolation, and Recovery (FDIR) for space-borne and robotic systems. The candidate will carry a leading role in this area and support PhD candidates in their thesis research
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applications for a unique postdoctoral position focused on the development of digital models of the human colon and surrounding organs to simulate their behaviour during colonoscopy procedures. The successful
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. Applications (CV, statement of interest up to two pages, copy of PhD diploma, and two references) should be sent to hyviquel@unicamp.br , with the subject “FAPESP Postdoctoral Fellowship – HPC Runtime
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workflows and support reproducible research (model evaluation/validation, transparent assumptions). Your profile PhD in economics, environmental science or a closely related quantitative field (e.g., climate
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-information ) 4)copy of the diploma of higher education confirming the obtained master’s degree or an equivalent degree 5)a certified copy of the PhD diploma 6)a list of research, teaching and organizational
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must be sent to sinbelangero@gmail.com , with a copy to pgtunifesp@gmail.com , with the subject line: “Application for PD Fellowship - BHRC - Name + Surname.” Requirements: PhD in health or biological
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materials using statistical mechanics, molecular simulations, and machine learning. Expectations Candidates will be responsible for: Developing multi-scale modeling methods for polymeric materials, using
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Requisition Id 15885 Overview: We are seeking a Postdoctoral Research Associate – Simulation and Machine Learning for Composite Manufacturing who will focus on developing physics-based simulation
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variety of one- and two-qubit gates required for quantum computing and simulation. Si/Ge heterostructures hold various records in semiconductor spin qubit technologies [1, 2], as they provide very clean