104 linked-data-"https:" "https:" "https:" "Stanford University" PhD positions at Nature Careers
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(https://www.cliccs.uni-hamburg.de/about-cliccs/cliccs-ll.html ). In CLICCS-M4, we are further developing the unique ICON-Coast model within the ICON Earth System Modelling Framework. The objective
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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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Biotechnology (https://www.sciencedirect.com/science/article/abs/pii/S0958166923000770?via%3Dihub ). Your responsibilities: You will develop and investigate fermentation processes with heavily reduced CO2
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Information about union representatives, see Help for applicants . Application procedure Apply via LiUs webpage for vacancies, https://liu.se/en/work-at-liu/vacancies/28629 . Your application must reach
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allowance. The employment will initially be limited to three years. Important: Applicants must not have resided in Germany for more than 12 months in the past three years. Group website: https://biophys.uni
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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
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, (bio)informatics, and multimodal data analysis. The research group led by Dr. Johanna Raidt focuses on the identification of known and novel MMAF- and PCD gene variants using large patient cohorts