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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian You will be part of a dynamic research team working on topics relevant
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-of-the-art analytical instrumentation and computational resources. Required Qualifications: A PhD in microbiology, microbial ecology, molecular biology, biochemistry, chemical biology or any relevant fields
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, the Optimized AI team focuses on computing techniques to scale up a wide range of AI approaches and drive the SW-HW-Technology co-optimization. We analyze and implement AI models and software architectures while
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successful candidate will be employed by the MBN Research Center gGmbH in Frankfurt am Main, Germany, and enrolled in the PhD programme at the Goethe University Frankfurt. MBN Research Center ( https
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opportunities to improve existing practices and services. Excellent skills in information and communication technologies including; Microsoft Office, University software packages, web and email software and
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qubits. Using software such as Qiskit Metal and Ansys, qubit designs will be constructed and simulated, with AI methods optimizing them to explore the trade-offs between multiple design objectives. It is
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Force Microscopy. Electroactive biomaterial experience, including electrochemical characterisation and synthesis. Expertise with advanced graphing and/or data analysis software (Prism, Origin Pro, Matlab
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successful candidate will be employed by the MBN Research Center gGmbH in Frankfurt am Main, Germany, and enrolled in the PhD programme at Goethe University Frankfurt. MBN Research Center ( https
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, software and data engineering, data mining, machine learning, and Artificial Intelligence. Qualified candidates are invited to submit their applications through the web portal available at https
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look forward to receiving your application! We are looking for a PhD student for sustainable and resource-efficient machine learning. Your work assignments Machine learning has recently advanced through