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CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | 11 days ago
-derived organoids, bioengineering and aging research. At AITHYRA, particular emphasis will be placed on the integration of multimodal biological data, development of deep learning and large language models
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FieldPhysicsYears of Research Experience1 - 4 Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available1Company/InstituteUniversity
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, genetic information, veteran status, marital status, and/or political affiliation. See https://equity.unl.edu/notice-nondiscrimination/ Minimum Required Qualifications: Associate's degree in agriculture
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Posting Description TECHNICAL ASSOCIATE I, Chung Lab – Picower Institute for Learning and Memory, will play a critical role in protocol development/optimization and data generation for a large NIH
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gradually align their behaviour through a small amount of interaction or shared information, much like pendulum clocks on the same wall eventually ticking together. In turbulent flows, synchronisation is a
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, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation. See https://equity.unl.edu/notice
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large-scale speech and wearable data from participants in the GLAD Study cohort (https://gladstudy.org.uk/ ). Using large language models (LLMs) and acoustic analytics, they will uncover patterns in
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are seeking a Research Assistant in the department of Urology. The Research Assistant oversees data collection, data organization, and/or data management or similar functions/tasks for research study(ies) in
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. The ability to work collaboratively and collegially with faculty and staff. Strong skills in planning, organizing, information integration, and decision-making. Experience in leading mid-to-large scale multi
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both independently and as a team member. Ability to work carefully with sensitive and confidential data. Ability to work with large, complex, and/or administrative datasets. Working Conditions