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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 30 days ago
physical and MAC layers and the proofs of concept for the practical assessment of the performance of selected algorithms. The position will be based at Inria Saclay, with expected collaboration with other
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Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software and algorithm development, modeling machine learning, and scientific
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international research program in East Africa and a vibrant community forum for clinicians and researchers. Dr. Lee’s research group (https://sulggileelab.ucsf.edu/), housed within the division, focuses
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and decoding information from neurons Prior experience dealing with custom hardware, FPGAs, and using/writing APIs to communicate with the hardware Like to live in the intersection of biology, hardware
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degree in the field of bioinformatics and computational biology. Work plan: To develop and evaluate a hybrid quantum–classical approach for NGS data alignment, combining Grover’s algorithm with classical
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recent research progress, please visit: https://www.cqm2itp.com/ Research fields (1) Quantum many-body theories and numerical methods, particularly tensor network-based algorithms for studying ground
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Requirements . Please note: You can apply online. We will … Where to apply Website https://www.academictransfer.com/en/jobs/355665/phd-position-algorithms-for-mic… Requirements Additional Information Website
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and/or scientific computation, scientific software and algorithm development, data analysis and inference, and image analysis Ability to do original and outstanding research in computational biology
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, analysis and/or scientific computation, scientific software and algorithm development, data analysis and inference, and image analysis Ability to do original and outstanding research in computational biology
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Job reference: BMH-030198 Salary: £37,694 - £41,064 per annum, depending on relevant experience Faculty/Organisational Unit: Biology, Medicine Health Location: Oglesby Cancer Research Building, 555