163 linked-data-"https:"-"https:"-"https:"-"Stanford-University" Postdoctoral positions at Nature Careers
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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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of Key Performance Indicators regarding finance, research facilitation, and communication The HPC postdocs will report to the HPC platform Lead, Dr Julien Schleich. For further information, please contact
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, supported by skilled staff and high-quality equipment. Strong links to professional sectors and the Luxembourg labour market. A unique urban campus with excellent infrastructure A partner for society and
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, epidemiologists, clinicians and chemical analysts to identify links between environmental toxicants/pesticides and Parkinson’s Disease. You will as part of the consortium further gain unique access to meetings and
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dynamic and supportive research environment with access to world-class infrastructure, strong clinical links, and excellent opportunities for scientific development Duties The successful candidate will lead
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structures. You will work closely with computational researchers to gather data, evaluate AI predictions, and design experiments. You will work in a team with 7 PhD-students and 4 postdoctoral researchers and
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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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, and train deep learning models on the resulting data to design new antibiotic compounds that evade both current and likely future resistance mechanisms. Your computational work will directly steer
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. Specifically, the project will combine 30 years of Danish health data at the service of hundreds of women with endometriosis, recruited through online platforms. It will use AI-enhanced methods to handle
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of catalysts using low dose-rate and dose atomic-resolution TEM. Linking 3D atomic structure, dynamics, and catalytic function of individual nanoparticles. Identifying and stabilizing uniquely active