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System, Computer and Communication Networks, Computer Theory, Machine Learning, Reinforcement Learning；Structural Engineering, Transportation Engineering, Water Resources Engineering & Science, Industrial
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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
apply machine learning/AI methods for ecological analyses Expedition experience Further Information The AWI is characterized by The AWI is characterized by our scientific success - excellent research
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internationally recognized scientists who are leaders in such disciplines as AI/machine learning (Dr. Madan Babu), NMR (Dr. Charalampos Kalodimos), cryo-EM/ET (Dr. Elizabeth Kellogg and Dr. Georgios Skiniotis
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sciences. Areas of interest include but are not limited to: AI-driven drug discovery and development, quantitative systems pharmacology, large language models for education and clinical support, machine
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electrical engineering, automation, computer engineering, or a closely related discipline, with proven expertise in the operation and control of intelligent energy systems. Experience and skills Solid
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, or other Maxwell solvers. Experience with machine learning algorithms is an advantage but not required. General qualifications Scientific production and research potential at the international level
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the area of structural or spatial mass spectrometry-based proteomics, combined with innovative machine learning, commencing at the Manitoba Centre for Proteomics and Systems Biology on October 1, 2025, or a
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, single-cell analysis, and machine/deep learning (preferred but not required). Strong programming and statistical skills (e.g., Python, Perl, R, Bash). Track record of first-author research papers. Strong
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of third-party funding. Applicants must have extensive experience in microbial culture, and additional expertise in microbial metabolomics and metagenomics is highly desirable. Experience in AI, machine
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly