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biologically-grounded spiking neural network model of active forgetting, focusing on the neuroscientific aspects of unlearning. This postdoc project is complementing the latter direction by focusing
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of several researchers working in the field of inverse problems due to their ability of combining variational inference approaches with the ability of neural networks to learn unknown posterior distributions
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Required Qualifications: Bachelor's or master's degree in computer science, software engineering, or a related field Proven experience in technical leadership roles on cloud-native or distributed system
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should summarize research highlights as a PhD student and, if applicable, as a postdoc, describe the future research direction of your independent research program, and include a plan for obtaining
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A Postdoctoral Associate position in AI and Cancer Research is available in the laboratory of Dr. Yu-Chiao Chiu at the University of Pittsburgh, within the Department of Medicine (Division of Malignant Hematology/Medical Oncology) and UPMC Hillman Cancer Center. This position is supported by the...
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algorithms, NLP models, and LLMs to analyze complex data. Designs and implements novel data science methodologies for predictive modeling, causal inference, and probabilistic analysis in clinical and
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simulation of complex detection systems, data handling and distribution. Good spoken and written knowledge in English and at least basis knowledge in German. Skills in organization and communication. We offer
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Applications are invited for a 2-year postdoc position on the topic of the Gut-Brain axis at the Department of Molecular Biology and Genetics, Aarhus University, Denmark. You will join a new lab
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Do you want to contribute to top quality medical research? As a postdoc in this project, you will be part of KIRI, the Karolinska Institutet Research Incubator, a unique initiative at KI to build a
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algorithms for optimization Quantum annealing Quantum inspired optimization Quantum machine learning with a special emphasis on classical optimization of QML algorithms Noise mitigation in relation