57 parallel-computing-numerical-methods positions at University of California Berkeley
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(ML), artificial intelligence (AI), and aging research. The successful candidate will contribute to a research program aimed at understanding the causal relationships between Alzheimer's disease
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the Program Director or Department Director in a timely manner. Interior Design Program and Courses: https://extension.berkeley.edu/public/category/courseCategoryCertificateProfile.do?method=load&certificateId
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ranges from approximately 10 to 13 weeks. Further course agreements may be assigned based upon program needs, meritorious performance, and funding availability. Application Window Open date: August 26
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interdisciplinary research program within one or more of the following areas: environmental and Earth science, energy systems and engineering, or mixed-method social science. Have an outstanding record of teaching
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employ state-of-the art sequencing methods to profile somatic mutations across different primate species. There is a particular focus on structural variation and employing long-read sequencing methods
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multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematicians, and computational scientists, and building worldwide collaborations aimed
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. Responsibilities: Define specific questions and methods around the effects of freshwater plume exposure on phytoplankton communities. Develop and interpret phytoplankton metrics using multi- and hyperspectral
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. Innovations in Screening and Computational Approaches: High-content and computational (AI/ML) methods to access expanded chemical space, including DNA-encoded libraries and mRNA display technologies. Human
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program. Additional qualifications (required at time of start) Advanced degree. Preferred qualifications MA degree (or equivalent international degree) in teaching Japanese, Chinese, Korean , Tibetan as a
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experimental data using advanced bioinformatics tools and contributing to the development of innovative methodologies, developing novel computational models, actively participating in lab and group meetings