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/work tasks: The position is part of the Belmont Forum project “ComDisp: Community-Centered Modeling of Housing-Related Health Disparities.” ComDisp develops a grassroots modeling framework to predict
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must be passed in addition to the research work. The research work will be both experimental and modelling-based, including literature review, writing of papers and the final PhD thesis. Required
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maintaining organismal homeostasis as well as in preventing diseases. The proposed PhD project evolves around two model fish species and aims to study mitochondrial efficiency in relation to stressors in
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under the “Cryptographic elements of trustworthy AI” project. The main research objectives for the project are the following: Analyze security of Machine Learning (ML) models against data modifications
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relevant experience in the development and deployment of machine/deep learning models as well as the use of remote sensing data You must have relevant experience in the development of hydrodynamic and water
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oscillator. With this project we want to combine competences developed in this area with advanced materials development and modeling to open up a new path based on coupling magnetodynamic oscillators with nano
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strategically important role in the shift towards a greener and more circular economy. Duties of the position Develop computational models and perform corresponding simulations to examine the behaviour and
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modeling to simulate the pavement response under different loading conditions. The research will support improvements of the existing specification for the maximum authorized axle load and mass of vehicles
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molecule microscopy, molecular and cell biology tools will be applied to cellular models of physiological developmental and diseases. Required selection criteria Practical experience in biochemistry
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years ago. Its main goal is to unravel where, when, and why early humans started to think and behave the way we do today, by combining archaeological excavations and dating with climate modelling