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metabolomics methods to map the metabolism gas fermenting microorganisms of interest. Responsibilities and qualifications In this position, you will be developing and applying novel metabolomics methods to study
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, PyMOL, Chimera, etc. Interest in advanced computational methods to improve and understand protein function Interest in entrepreneurship to make a positive impact on planetary and human health As a formal
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approaches, such as topology optimization, with gradient-free methods, such as genetic algorithm, in order to exploit the specific strengths of the two classes of algorithms, and through this reach an ideal
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Excellent communication skills As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical university globally recognized for the excellence of its research
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will involve developing and applying advanced data analysis methods to investigate ionospheric electrodynamics using novel datasets, including those from the EISCAT 3D radar system and NASA's Electrojet
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such as mechanical exfoliation and stacking, as well as characterization methods including AFM, SEM, and optical microscopy. Experience with advanced nanofabrication techniques such as e-beam lithography
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background in thermodynamics and phase behavior of complex mixtures Excellent programming skills (e.g., Python, C++, Fortran, or similar) Experience with COSMO-based methods, including parameterization, model
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electroluminescence and photoluminescence imaging, preferably daylight and field-based methods. Proven skills in data analysis, image processing and machine learning. Experience with PV performance modelling, power
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will develop algorithms and methods aimed at better detection and mitigation of GNSS interference events from either jamming or spoofing attempts. In addition to research within GNSS integrity
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. You are also expected to contribute to the supervision and training of BSc, MSc, and PhD students, as well as to teaching and outreach activities within the department. As a formal qualification, you