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modification of porous carbons, graphene and graphene oxide, introducing different defects and addition of nanoparticles. Important part of project is aimed on design of environmentally friendly methods
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the department is available at: https://www.umu.se/en/department-of-computing-science/ Project description Graph transformation is a well-established theory that studies computational methods
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attitude to share information. In addition, you will participate in analysing and interpreting different type of data. You are expecting to have the responsibilities of developing methods for analysing and
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will contribute to the development and evaluation of methods for bioprinting hydrogels (also referred to as bioinks) that support the development of better 3D in vitro models with such tissue-specific
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look forward to receiving your application! We are looking for a PhD student in AI and machine learning with a focus on generative machine learning methods for cyber security applications. Your work
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biochemical and biophysical methods to study the structure, function and dynamics of proteins. A special focus is on new methods within structural biology that utilize X-rays from synchrotrons and XFELs
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modification of porous carbons, graphene and graphene oxide, introducing different defects and addition of nanoparticles. Important part of project is aimed on design of environmentally friendly methods
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, or English, a summary of max 1,000 words must be included, outlining method, theory, and results/analysis. A CV in Swedish or English showing eligibility for PhD studies in Sociology of Law. Degree
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control and reinforcement learning supported by an edge-cloud-based wireless communication environment. The doctoral student will work on data-driven theory and method development in simulation environments
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description Trustworthy machine learning is an umbrella term that provides methods and tools to ensure that AI and ML systems are verifiable, robust, secure, privacy-preserving, and ethical, which leads