50 linked-data-"https:"-"https:"-"https:"-"UNIVERSITY-OF-MACEDONIA-RESEARCH-COMMITTEE" PhD positions at Nature Careers
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role Conduct research on data quality and long-term reliability in smart sensor systems for industrial monitoring Develop methods, models, and computational tools for sensor data validation, anomaly
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morphology to directly link gene-regulatory cell states to functional neuronal phenotypes. This ambitious project integrates wet-lab experimentation with advanced computational analysis, and is ideal for a
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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data. Your profile We are looking for a motivated researcher at the PhD student level. This theory project will comprise both analytical calculations as well as numerical simulations of classical spin
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The Bernhard Nocht Institute for Tropical Medicine (http://www.bnitm.de/en ) is the largest Research Institute for Tropical Medicine in Germany and is the National Reference Centre for Tropical
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Deadline : April 15th 2026 · Selection Process : Mai 2026 · PhD Start Date : September-October 2026 How to apply All information are provided on the website of the project : https://www.eu4greenfielddata.eu/
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. The research group at GEOMAR complements these data and researches the role of fine-scale eddies by using high-resolution models of the ocean and the atmosphere. WHIRLS consists of 4 partners in France, Sweden
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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atomic-resolution TEM. Linking 3D atomic structure, dynamics, and catalytic function of individual nanoparticles. Identifying and stabilizing uniquely active nanoparticles to uncover atomistic mechanisms
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materials synthesis, advanced operando characterization, and lab scale testing. We use robotic, high-throughput methods, and data science to accelerate novel sustainable materials discovery. PhD Position