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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 20 minutes ago
devices will be able to perform computation and communication with energy harvested from the environment and from ambient wireless signals. The PhD student will be part of the design and electronic
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Educational and didactic qualifications including supervision of Masters and PhD students Diversity and gender competence We Offer Job ticket as a contribution to climate protection Secure employer with a
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-supervision and coordination of masters and PhD level students. Excellent communication in both English and French languages. Good publication track record in peer-reviewed journals with respect of the career
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in Computer Science or related disciplines and has experience in cyber security and privacy research. They should have a good track record in relevant conferences and journals and has a track record in
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and BSc students as well as research assistants Qualifications: PhD in biotechnology, biochemistry, biology, chemistry, biophysics, or related area Experience with molecular biology and protein
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: 280092639 Position: Postdoctoral Research Associate/Program on Science and Global Security Description: Princeton University's Program on Science and Global Security (SGS), based in the School of Public and
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, and environmental engineers. Supervise MSc or PhD students. Qualifications: Ph.D. in Materials Science, Inorganic Chemistry, or a related field. Experience in the development of microporous materials
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and BSc students as well as research assistants Qualifications: PhD in biotechnology, biochemistry, biology, chemistry, biophysics, or related area Experience with molecular biology and protein
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in Computer Science or related disciplines and has experience in cyber security and privacy research. They should have a good track record in relevant conferences and journals and has a track record in
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 11 days ago
latent spaces). Integrate dynamic, geometric, and biophysical features extracted from large MD simulations. Train and benchmark models on state-of-the-art datasets. Collaborate with PhD and Master students