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engineering. This unique position combines cutting-edge computational modeling with hands-on laboratory experimentation to design and validate novel proteins using state-of-the-art protein language models. Key
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Apply now Job no:535571 Work type:Faculty - Tenure Track Location:Eugene, OR Categories:Biology/Life Sciences, Research/Scientific/Grants, Instruction, Chemistry, Human Physiology, Computer and
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science topics, including practical software development skills. Expertise in teaching mathematical subjects related to computer science such as discrete structures, analysis of algorithms, artificial intelligence
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 7 hours ago
scientists, and research trainees in computer science and health disciplines with interests in the pathobiology of human health, including diseases (e.g., cancer and rare genetic diseases), infection, healthy
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Computer Science, Engineering Education, or a closely related field • Demonstrated ability to teach at the college level • Knowledge of algorithmic thinking and basic computational problem-solving • Excellent
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equipment. You will ensure sensors are calibrated and will implement, improve, and interpret data quality assurance algorithms. You will also produce reports as needed for distribution to agricultural
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nanocrystal morphology and optical property characteristics. The researcher will work collaboratively with graduate student(s) to design and implement a machine learning (ML) algorithm using the database as
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Position Details Position Information Recruitment/Posting Title CS Summer Research– Grad Student Department SAS - Computer Science Salary Details 3375 Offer Information The final salary offer may be
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for functional group. Work on complex algorithms and coding to integrate all SDTM specifications and database specifications. Build governance database to create a repository of all governance requests
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computational models, algorithms, or theory to probe the mechanisms of learning and memory. Ideal candidates will work across levels—from molecules and synapses to circuits and systems—and contribute