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optimizations (e.g., automated pipelining). The PhD student will be supervised by Nusa Zidaric. Key responsibilities During the project, you are expected to conduct original competitive research and proof
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responsibilities During the project, you are expected to conduct original competitive research and proof-of-concept development and to write several research articles that together will form the basis of a thesis to
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PhD position understanding and designing nanomedicines-membranes interaction: physics based approach
Center at the physics department of Leiden University (link: https://slam-leiden.nl/Slam/Main/) . We offer a collaborative and inspiring environment, as well as state-of-the-art equipment. The PhD project
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on what we learn from organisations where cybersecurity is managed successfully. The main research question the team will answer is: “What do successful organisations do differently on the individual, team
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their ways of working based on what we learn from organisations where cybersecurity is managed successfully. The main research question the team will answer is: “What do successful organisations do differently
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cybersecurity solutions that organisations can implement in their ways of working based on what we learn from organisations where cybersecurity is managed successfully. The main research question the team will
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solutions that organisations can implement in their ways of working based on what we learn from organisations where cybersecurity is managed successfully. The main research question the team will answer is
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the the Smart Living Active Matter Center at the physics department of Leiden University (link: https://slam-leiden.nl/Slam/Main/) . We offer a collaborative and inspiring environment, as well as state-of-the-art
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will conduct original empirical socio-legal research on the legal and cultural dimensions of agricultural digitalization and data governance, focusing on one of three country case studies: India, Kenya
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group can be found at http://eda.liacs.nl/ Key responsibilities Conduct original and novel research in the field of human-centered interpretable machine learning; Explore applications of human-centered