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review. You will possess master level quality, accuracy, speed and knowledge for your assigned specialist area and execute reflex testing algorithms. Work schedule: 100% FTE, Fixed Duration Appointment
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the area of enzyme engineering to the next level, while having a positive impact on our world. When joining our group, you get the opportunity to use the latest algorithms in machine learning for improving
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of biological databases, algorithms and pipelines; experience in working with phylogenetic/ genomic/transcriptomic/systems biology tools will be a bonus; being well organized, eager to learn and ready to
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or incomplete. Information Your tasks will include: Developing and benchmarking ML/AI algorithms tailored to low-data regimes — e.g. few-shot learning, transfer learning or data-efficient representation learning
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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 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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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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should focus on one or several of the following or related research areas: High-Throughput Sequencing Algorithms and Applications, Computational RNA Biology and Regulatory Genomics, Analysis and Modeling
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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