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of both science and societal application. We contribute to innovative information technologies through the development and application of new concepts, theories, algorithms, and software methods. With our
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framework that is now being developed in the Laan Lab. You will be part of a multi-disciplinary team, including another PhD student who focusses on the genomics of adaptation and a postdoc who will analyse
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to a corpus of geo-analytical scenarios with questions and corresponding workflows; collaborate closely with another PhD candidate (question modelling), a postdoc (GeoQA reasoning engine) and a technical
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with Eurandom in Eindhoven. KdVI counts about 40 staff members and 50 postdocs and PhD students. Want to know more about our organisation? Read more about working at the University of Amsterdam. https
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dissection for parameter verification, and a novel morphometric scaling approach, we will set a new standard for modelling the musculoskeletal system. These next-generation models will allow us to explore how
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, bioinformatics, computer science, or a related field. Experienced programmer – You are confident in languages such as Python, Matlab or R, and you enjoy building and improving computational pipelines. Proficient
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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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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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an emphasis on software systems. Prior expertise in operating systems is desirable. Prior knowledge in quantum technologies is a plus, but not required. Quantum Network Applications The goal of this PhD
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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