24 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" positions at Nature Careers in South Africa
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Chair of the Scientific and Technical Advisory Panel (STAP) to the Global Environment Facility (GEF)
, strategies, programs, and projects. STAP (https://www.stapgef.org) is hosted by UNEP’s Office of Science and comprises a Chair and six Panel Members, each aligned with a GEF focal areas: biodiversity, climate
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. The position is open till a successful candidate is selected. Submitted materials will not be returned. Background information regarding this position and the NCGWR can be found at the website: http
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The Institute of Biomedical Sciences at Academia Sinica, Taiwan (https://www.ibms.sinica.edu.tw/ ), a leading biomedical research institute in Asia, invites applications for tenure-track positions
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of January 2026 on the dedicated platform (https://ibsafoundation.poliresearch.com/ ) and shall provide the following additional documents as separate files: Curriculum Vitae List of peer-reviewed publications
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. Experience with applied computational methods and machine learning is preferred but not essential. Postdoctoral research experience is preferred but not essential. A thorough understanding of the fundamentals
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to uncover new ideas and share their discoveries, health professionals to stay at the forefront of medical science, and educators to advance learning. We are proud to be part of progress, working together
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, including approaches that produce “black box” data that might only be actionable in conjunction with AI and machine learning methods. Experimental technologies could cover (but are not limited to) single-cell
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Learning, AI-driven Scientific Discovery & Lab Automation, ML-driven molecular simulations, and beyond. We will support our Starting Principal Investigators with access to appropriate compute infrastructure
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service, or similar circumstances, as well as clinical practice or other forms of appointment / assignment relevant to the subject area. Project 1: Growth dynamics of the world’s longest-lived algae
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models (e.g., deep learning, reinforcement learning, probabilistic graphical models) for applications in genomic prediction, GWAS, GS, gene-editing target discovery, and multi-trait selection. Conduct