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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: SIMD performance engineering. Machine Learning. Communication-efficient
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microenvironments, molecular biology, and with experience in, or interest in learning, basic computational biology methods. Candidates must be able to perform as part of a team as well as independently, and must have
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. Develop and apply state-of-the-art electron microscopy methods to study molecules-adsorbents interfaces. Collaborate closely with TUM to correlate nanoscale insights with material performance. Contribute
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environment in mass spectrometry-based proteomics. You will have access to state-of-the-art facilities (e.g., proteomics and bioimaging) and extensive expertise in functional proteomics. Through SDU, you will
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awareness, faster response times, and reduced operational costs. Key research tasks will include some of the following: Localization: Exploring and comparing state-of-the-art underwater SLAM (Simultaneous
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-of-the-art facilities and deep expertise. Our infrastructure spans the full spectrum from fundamental electrochemical studies to the fabrication of lab-scale components and devices. Responsibilities and
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state-of-the-art research center anchored to the University of Copenhagen, Department of Immunology and Microbiology (www.isim.ku.dk). NIVI Development (NIVI-D): A company that focuses on translational
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adapting vehicle positioning or sensor usage dynamically during missions. This includes strategies where one vehicle provides global context (e.g. mapping or acoustic baseline), while the other performs
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, collaborative, ambitious and innovative research environment in mass spectrometry-based proteomics. You will have access to state-of-the-art facilities (e.g., proteomics and bioimaging) and extensive expertise in
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the fields of control theory, artificial intelligence, and robotics. You will work alongside leading experts in the field, collaborate with national and international partners, and access state-of-the-art