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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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skills in data analysis, machine learning, as well as in mathematical and computational modelling? You will have the opportunity to investigate innovative solutions using machine learning algorithms and
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, quoting reference number 487-25 to Prof. Dr. Heiko Wende, University Duisburg-Essen, Faculty of Physics, 47057 Duisburg, telephone +49 203 379-2838, e-mail: heiko.wende@uni-due.de . Information about the
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+ imaging, data analysis and neuronal circuits. Requirement PhD in neuroscience, computer science or a related field High motivation for explorative research Experience in neurophysiology (electrophysiology
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The Department of Psychology at the University of Southern Denmark (Campus Esbjerg) invites applications for a three-year postdoctoral position within a research program on loneliness. The position
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transcriptomics and bioimaging to study human liver biopsies and advanced, preclinical models. A combination of wet-lab and computational biology, close ties to the clinic, and a wonderful team of early career
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The research aims to develop next-generation magnetic recording technologies that achieve ultra-low power consumption and ultra-high recording density. Specifically, we focus on magnetic thin-film devices utilizing magnetization dynamics induced by spin-transfer torque and spin-orbit torque, as...
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: Recently earned a Ph.D. in bioinformatics, computational biology, computer science, electrical and computer engineering, or a related discipline Strong experience in integrating several of the following
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computational microbiome research. The specific focus of the project will be tailored to the candidate’s interests and will align with the objectives of the aforementioned consortia. These projects work at the
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), located in central Berlin, is seeking a highly motivated postdoctoral researcher with a strong computational background to develop new methods for analyzing multimodal data from genetic and pharmacological