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biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics, untargeted metabolomics, or other biological high-throughput datasets
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similar tasks and subject matter. Technical Skills: Cryptography and programming skills. Knowledge of one or more of the following areas: Homomorphic Encryption (FHE). Multi-Party Computation (MPC). Zero
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to the discipline Contribute to grant applications submitted by others and develop own research objectives and proposals for funding Knowledge, Skills and Experience Research Assistant Knowledge of hydrological
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to students from an engineering school or a Master's degree program in physics. Ideal candidates will have knowledge of optics and laser instrumentation (lasers, frequency conversion, optical metrology, etc
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technical support for facility related projects. Attend departmental meetings as necessary to facilitate operation and knowledge transfer. · Provide a safe working environment for facility users and monitor
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Research Assistant/Associate in Photonics Integration of Graphene and Related Materials (Fixed Term)
of graphene and related materials is required. The role holder would possess sufficient breadth or depth of knowledge in the discipline and of research methods and techniques to work within their own area. The
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DIPF | Leibniz Institute for Research and Information in Education contributes to addressing challenges in education through empirical research, digital infrastructure and knowledge transfer. At its
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, biogeochemistry or comparable studies good English speaking and writing skills good knowledge in plant and/or soil ecology basic understanding in chemistry and lab work comprehensive knowledge in statistics and
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transformation, East Carolina University uses innovative learning strategies and delivery methods to maximize access; prepares students with the knowledge, skills and values to succeed in a global, multicultural
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Networks. Knowledge of and experience in Python, TensorFlow, Keras, or other Machine Learning toolboxes, is essential. Knowledge of and experience in Large Language Models is highly relevant. The successful