30 algorithm-development-"Multiple"-"Prof" "NTNU Norwegian University of Science and Technology" positions at University of California Berkeley
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/Administrative Internal Number: 6456622 Postdoctoral Scholar Genomics, Aging, Somatic Mutation, Structural Variation, Evolution , Cancer Integrative Biology Position overview Position title: Postdoc Employee
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-scale data sets, especially using performant algorithms. Develop machine learning approaches, computer vision tools to help pre-process dataset and annotations to generate groundtruth benchmarks
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engineering to lead multiple courses each year. Disciplines where we are seeking instructors include: Computational Chemistry Computational Quantum Chemistry Scientific Computing Machine Learning/Deep Learning
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Program (BTEP)--the BSE's teacher education program. BTEP consists of 4 pathways: Elementary/Multiple Subjects Elementary/Multiple Subjects with Spanish Bilingual Authorization Secondary English Secondary
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deep commitment to Berkeley's public mission, the ability to lead effectively within a strong culture of shared governance, the genuine willingness to listen to, engage, and collaborate with multiple
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responsibilities, duties include holding office hours, assigning grades, advising students and preparing course materials. This is a pool recruitment that may be used to fill openings for multiple terms
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more. The purpose of this project is to develop a foundation AI model capable of extracting biological insights from 4D (x,y,z,time) datasets of subcellular dynamics within physiological contexts and
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EECS department, is affiliated with the Berkeley AI Research Lab, Computational Precision Health, and the Center for Human-Compatible AI. We develop AI methods for applications in the health and social
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original research projects on Alzheimer's disease and brain aging. Apply advanced statistical and machine learning methods to neurobiological and clinical data. Prepare and submit manuscripts for publication
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applications for a Junior/Assistant Specialist in the Staller Lab, in the area of computational analysis of protein sequence data. The project includes studies of protein sequence evolution, comparison