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will support and conduct simulation modeling research related to tobacco and lung cancer prevention and control. Duties include: Conducts data analysis using secondary data sources, such as national
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in working with nuclear fuel modelling, machine learning
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through a model-driven approach, i.e. a combination of simulation- and data-driven methods and tools with data analysis and machine learning as an important part. The work builds on established theories and
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motivated and talented researchers to join the SOLIS consortium. These roles offer an exciting opportunity to conduct research at the nexus of energy transition, sustainable finance, business model innovation
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. You will help shape the service and delivery model for enterprise learning technologies, supporting a seamless, engaging and scalable digital learning experience for staff and students. Reporting
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strong written and oral communication skills Must be able to work independently and communicate proactively Specific Job Knowledge (e.g.; knowledge of principles and procedures related to field and area
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position Long term management of large scale computing infrastructures requires
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https://www.academictransfer.com/en/jobs/364074/research-assistant-at-the-donde… Requirements Specific Requirements You hold a MSc degree in Cognitive Neuroscience or a relevant discipline such as
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, neural signals, behavioral, cognitive, genetic, and clinical data to model brain structure, function, and dynamics across individuals and populations. Key Responsibilities The postdoctoral fellow will
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kinetic models, performing sensitivity and uncertainty analyses, and conducting rigorous statistical analysis of experimental and clinical datasets. The candidate should demonstrate broad knowledge