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Field
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research in Statistics and the application of statistical methods to solve real-world problems in medicine and public health. The research will specifically involve developing innovative analytical methods
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measurement by ICP-MS or ICP-OES Conceive, design, and implement innovative analytical methods chemical analyses using state of the art elemental and isotopic mass spectrometric systems. Publish and present
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collaborative manner. Conducting interviews, workshops, and collecting case study data, translating the case observations into analytical representations, writing and presenting high quality papers, and being
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. Solid understanding of power electronics, grid integration of renewables, and stability assessment techniques. Excellent analytical, programming, and computational skills. Strong publication record in
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proficiency in the following areas: programming languages (C, C++, Python), embedded systems prototyping, data analytics, signal processing, academic writing Application should include: Cover Letter, Statement
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digital co-simulation platforms (e.g., Modelica-Python/Simulink) Applying machine learning and data-driven approaches to enhance the operation of district heating substations Participating in course
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an effective team player to interact constructively with the interdisciplinary team of the CBS department and other collaborators with different backgrounds. For further information, please contact
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and/or directed research to achieve the objectives of the research project Organizing and implementing complex research plans Developing of methods of research, testing and data collection, analysis and
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in medical informatics, human-centered AI, and health technology. This position is based in DePaul University’s Medical Informatics Lab, affiliated with the Visual Informatics and Data Analytics (VIDA
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, Aalborg University and TU Delft, including microbiologists, process engineers, biopolymer and formulation specialists, and analytical chemists. A background within glycobiology, carbohydrate chemistry and