66 software-defined-network-postdoc PhD positions at Delft University of Technology (TU Delft) in Netherlands
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spectral graph theory. The PhD will be supervised by Anurag Bishnoi.You will have the opportunity to collaborate with Postdocs, PhD candidates, and other faculty members of the research group. You will also
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of current explainable AI techniques is highly beneficial. PhD Position 2: Privacy Preserving Explanations You will design methods to release model outputs and explanations under rigorously defined privacy
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AI-driven solutions for sustainable, efficient, and collaborative port operations of the future. Job description European seaports must achieve net zero emission by 2050 and 55% emission reduction
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methodological skills in both qualitative and quantitative research, including: Survey and interview methods. Focus groups and workshop facilitation. Experience with qualitative analysis software (e.g., Atlas.ti
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remanufacturability. Finally, insight in tensions between repair, remanufacturin, and recycling will be balanced in a strategy for long-lifetime products. Case-studies will be defined during the project, in close
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, postdocs, and faculty members. Our group focuses on understanding and mitigating corrosion processes, and on the development of electrocatalysts and electrochemical sensors through the synthesis of materials
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develop and maintain the software for this shared demonstrator vehicle. Job requirements Completed (or about to complete) a MSc degree related to any of: artificial intelligence, machine learning
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well as the humanities. TPM develops robust models and designs, is internationally oriented and has an extensive network of knowledge institutions, companies, social organisations and governments. Click here to go to the
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requirements MSc in Computer Science, Computer/Software Engineering, or a closely related field. Proven skills in access control/usage control (e.g. ABAC/UCON/RBAC) and Blockchain Hyperledger Fabric, Indy, Besu
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function itself remains intact. So, how do cells achieve this robustness when their underlying molecular networks diversify so dramatically over evolutionary time? Our lab has shown that in budding yeast