Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
experimental approaches, including machine learning, genomic assays, and live imaging of subcellular dynamics coupled to CRIPSR-based genome engineering. Much of the experimental work is carried out in live
-
the Lamont campus. Assist graduate students, postdocs, and faculty to setup and perform laboratory experiments; be part of a team solving cutting-edge scientific problems. Duties and Responsibilities include
-
operational constraints and employee preferences, within rigorous optimization frameworks. Data science and machine learning: experience with data preparation, feature extraction, and preference learning
-
faculty, postdocs, and students across physics, biology, engineering, and other STEM fields. Fellows will be provided an annual salary of $75,000, full benefits, and a research account of $4,000 per year
-
minimizing computational and energy costs. The proposed approaches will rely on machine learning methods applied to image analysis, with the objective of enabling early identification of at risk areas and
-
learning methods development and application. The postdoc associates will be exposed to rich multi-omics data, a variety of diseases, advanced statistical and machine learning methods and wide collaborations
-
can be found on his website https://knightlab.ucsf.edu/ About the role: We are looking to hire a full-time lab manager who has experience working with rodents. A core responsibility of the position (~50
-
research oriented towards applications of quantum computing, quantum algorithms, or machine learning. Publishing articles in top-tier journals and disseminating results on thematic conferences. Applying
-
family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ Equal Opportunity Employer: Duke is an Equal Opportunity Employer committed to providing
-
environment where machine learning meets real-world scientific impact. What You’ll Do: Conduct cutting-edge research at the intersection of AI and science Develop large-scale deep learning models for scientific