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different type of data. You are expecting to have the responsibilities of developing methods for analysing and managing both spatial and temporal data, these developments will need a close interaction with
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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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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 assignments The primary focus of this PhD
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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
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methods in breast cancer diagnostics, with a particular focus on cancer screening and artificial intelligence. Located at the Skane University Hospital (SUS) Malmö, Diagnostic Radiology and LUCI are both
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group of scientists and medical professionals, mainly focused on innovative clinical imaging methods in breast cancer diagnostics, with a particular focus on cancer screening and artificial intelligence
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treatment method. We conduct research across a broad range of areas, including trauma, degenerative disease, pediatric orthopedics, and hand surgery. Depending on the research question, we employ a wide
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in both wet lab work and bioinformatics analysis of Oxford Nanopore long-read sequencing data related to X-linked diseases. Skilled in proteomic methods using MALDI-TOF and HPLC-MS, including data