138 master-"https:"-"https:"-"https:"-"https:"-"CNRS-"-"Univ" research jobs in Denmark
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of the position is two years. Your work tasks The main task of this postdoc position will dedicate on research and development of advanced process control augmented by some AI techniques, e.g., using reinforcement
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project with the aim to understand the functional role and disease mechanisms of protein complexes associated with primary cilia and centrosomes. Cilia are antenna-like organelles that project from
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, and 775 bachelor and master’s students at our campuses in Aalborg (main campus) and Esbjerg, we are a vital research and educational institution when it comes to creating new basic knowledge as
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methods, with particular focus on mass spectrometry (MS). The position involves collaboration with researchers in various internally and externally funded research projects. While the main focus will be
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, and 775 bachelor and master’s students at our campuses in Aalborg (main campus) and Esbjerg, we are a vital research and educational institution when it comes to creating new basic knowledge as
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research tasks related to the CULTS project. Main tasks include scraping (from open sources), organizing, and analyzing large amounts of rhetorical and behavioral communication (text data) of (primarily
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for applying, qualifications in relation to the position, and intentions and visions for the position Curriculum Vitae (CV) Diplomas (master's degree diploma and PhD diploma) List of publications, with
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computational research in collaboration with other team members, and is expected to take a role in providing guidance to PhD, masters, and bachelor students. The postdoc will be part of the computational
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Postdoc – Performance requirements for biobased construction materials used in the building envelope
of materials to provide the basis for formulating new standards using biobased materials in the building envelope. Your main responsibilities will include: Providing scenarios for moisture-related challenges and
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implement state-of-the-art data science principles into dental practice. While our primary focus is on the use of deep learning in (dental) imaging, our work expands into any type of data (e.g. tabular data