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Field
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preferred: the development of computational models to represent structural performance using commercial and research software tools the development and validation of neural network models focused
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help. Tasks and responsibilities: You will collect and homogenize the available anharmonic DFT calculations of PAHs available in the team You will implement neural networks based on PAH molecular
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experience in at least one of the following topics: deep learning, reinforcement learning, probabilistic modeling, statistical learning, neural networks, or other related fields Interest in interdisciplinary
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science or a related field Enthusiasm for interdisciplinary research & research methods Strong analytical skills and a collaborative mindset Experience with (Bayesian) statistics, deep neural network models
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the neural basis of high-dimensional category learning in vision. The project investigates neural mechanisms of category learning at the level of circuits and single cells, utilizing electrophysiology
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
to develop hybrid models for sea ice that combine coupled climate models and machine learning. Our previous work has demonstrated that neural networks can skillfully predict sea ice data assimilation
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/ or in vivo animal models of epilepsy - Sleep, circadian and / or stress neurophysiology - Immunostaining - Experience in behavioural tests - Modelling of neural network dynamics In
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and other machine learning models (especially neural network models, time-series models) and coding in python and R. Strong collaborative skills and ability to work well in a complex, multidisciplinary
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data in emerging adulthood. The GUTS Social Networks work package consists of a cohesive set of two postdoctoral and four doctoral projects, all aimed at a common goal: understanding how neural and self
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using language models to induce programs from text data Experience with computational cognitive modeling Experience with neural networks or other machine learning methods Strong initiative and