65 algorithm-development-"Multiple"-"Simons-Foundation" "Prof" PhD positions at Technical University of Denmark
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experimental research in nanoparticle catalysis using advanced operando electron microscopy This collaborative PhD project between Technical University of Munich (TUM) ( the group of Prof. Barbara A.J. Lechner
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of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Dr. Lei Yang and Prof. Johannes Kabisch (Norwegian University of Science
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in working with large data sets and the development of numerical models. Basic knowledge of glaciology or geodesy. Good expertise in programming, e.g. in Python, MATLAB, or other high-level programming
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is to develop a low-power, privacy-preserving Internet of Things system that supports caregivers in delivering high-quality, home-based care for elderly individuals. The project focuses on developing
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Job Description If you have a key research interest in development of mRNA vaccines for a clinical relevant purpose, then this might be the right PhD position for you. The aim of the PhD project is
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the interfacial phenomena between water contaminants and adsorbent materials. As a member of the “Nano-Micro-Macro. Structure in Materials” research group, led by Prof. Joerg Jinschek, you will push the boundaries
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The need for blood-type matching in emergencies Risk of transmitting infections, such as HIV in the past This project aims to develop a safe, stable, and universal synthetic oxygen carrier— a new class of
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developing and deploying an ocean‑monitoring system for offshore installations. The research will integrate optical and acoustic sensors, autonomous data collection, and advanced perception methods to track
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Job Description Are you interested in developing novel machine learning methodologies that are scalable, reliable and explainable and that can address imminent challenges? Responsibilities and
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development and marine management. Your primary tasks will be to: Compile and harmonize data from multiple sources (e.g., EMODnet, Copernicus, fisheries surveys, citizen science). Engage with data managers and