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for hyperbolic conservation laws and other time-dependent partial differential equations relevant to computational fluid dynamics. These efforts might include Bayesian physics-informed neural networks and neural
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spaces for applications. To optimize tACS towards a technique of network stimulation in the human brain, we use computational modeling at the population level (neural mass models) as well as at the neuron
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sciences » Biology Medical sciences » Other Neurosciences » Neurobiology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 21 Jan 2026 - 23:59 (Europe/Warsaw
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Feb 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD student
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a short video, while the brain continuously operates in a dynamic world on a few watts only. What clever computations does the brain use to achieve efficient processing of videos? This PhD project
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, public authorities in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will develop a multi
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actively shape its scientific direction. Where to apply Website https://www.academictransfer.com/en/jobs/357462/msca-dn-phd-mapping-behavioral-… Requirements Specific Requirements You are a motivated
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None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content The international doctoral programme at the Bernstein Center for Computational Neuroscience
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SAF combustion. Recent advances have demonstrated that machine learning techniques, particularly neural networks, can significantly accelerate chemical kinetics computations. Nevertheless, most of
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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | about 6 hours ago
degree / PhD programme No Joint degree / double degree programme No Description/content The IMPRS CoNI provides world-class training for doctoral students and aims to nurture the next generation of