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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 4 hours ago
Researcher to support research and development in nautical chart symbology, chart compilation, and visualization of data overlays within decision-support systems for marine navigation. The position focuses
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leading role in the quantitative and comparative work package of the project. More concretely your work package contains: Lead the quantitative analysis of urban expulsion regimes Compile, clean, harmonise
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software development work and running complex robotic experiments with different platforms. Job requirements Required qualifications and qualities: MSc degree in software engineering or robotics, and similar
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tensile strength, so engineers have to rely on steel reinforcement. This project explores a different approach: nature has already perfected the art of turning brittle minerals into tough materials, like
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characterization of promising sulfur-based polymer (semi)-solid electrolytes for different silicon anodes and Li-metal technologies. Characterization will involve a combination of electrochemical impedance
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data and IT infrastructure. Combination of different algorithms to test multimodal predictive modelling. Compilation and presentation of data orally at seminars and conferences, as well as independent
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context. At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We
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to the development of methodologies, models and decision-support tools based on life cycle thinking. Main responsibilities include: Conducting Life Cycle Assessment (LCA) studies. Compiling life cycle inventories and
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value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions
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structures and activities. The postdoc will lead the compilation, annotation, and integration of microbial volatile data, linking metabolomic profiles to microbial genomes, traits and ecological functions