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of the project thereby complementing the human data analyses performed in Maastricht. Post-translationally modified proteins (PTMs) and their antibodies have been long-implicated in the etiology of auto-immune
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cutting-edge computer vision, wearable sensors, and citizen science, RUN2GETHER will capture large-scale, real-world data during running events and group runs. These data will advance our understanding
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missing and incomplete symptom data can introduce bias and worsen existing inequalities. This PhD will develop innovative statistical and machine learning approaches to understand, model, and overcome
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the running infrastructures. Using cutting-edge computer vision, wearable sensors, and citizen science, RUN2GETHER will capture large-scale, real-world data during running events and group runs. These data will
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one or more of the following areas is meriting: Bayesian statistics, mathematical modelling, probabilistic machine learning, deep learning, large language models. Rules governing PhD students are set
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or equivalent High competence in machine learning and robotics Knowledge and experience in computer vision is an advantage Good mathematical and programming skills (Python and C/C++; ROS is an advantage) Good
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or equivalent High competence in machine learning and robotics Knowledge and experience in computer vision is an advantage Good mathematical and programming skills (Python and C/C++; ROS is an advantage) Good
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of the war affect the organization of the fighting parties? More information about the project can be found here: https://www.sv.uio.no/isv/english/research/projects/wow/index.html The PhD Fellow is expected
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.) You will work with one of the most comprehensive multimodal datasets available, enabling research at the frontier of data-driven biology. What you’ll do Develop and train large-scale machine learning
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are applied in real-world settings characterized by large-scale networks, stochastic demand, operational disruptions, and complex constraints. A central research question is how machine learning can be