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deep expertise in modern machine learning and a strong record of research accomplishment who are excited to advance foundation models, agentic systems, and new AI approaches for high-impact scientific
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an interdisciplinary and international team. You are organised, proactive, and motivated to contribute to research that has scientific, institutional, and societal impact. You have: A PhD in Health Sciences, Biomedical
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multidisciplinary research team. Required Qualifications: Applicants must hold a PhD in Geotechnical Engineering or a closely related field, with less than 5 years post-recieving the PhD, and with research experience
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that these properties covary with genotype. This project aims to (1) assess and understand the potential structure of withdrawal, (2) acquire data from genetically diverse mice under a multitude of conditions, and (3
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the intersection of machine learning (ML) and the sounds of wildlife (“bioacoustics”). We are also happy to consider candidates in one of the two fields who can demonstrate a strong basis for working in this cross
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At AAU Energy, a position as Postdoc in AI and Deep Learning for Radar-Based Non-Destructive Testing is open for appointment from 01.10.2026 or as soon as possible hereafter. The position is
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Houston, Texas Job Type Staff Job Description Our Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives
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. Qualifications Required Qualifications: PhD Food Science, Food Chemistry, Analytical Chemistry, or related field. Experience with LC-MS/MS, HPLC, mass spectrometry Experience with different sample preparation
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publications. Applicants must hold a PhD in Marine Science, Marine Ecology, Oceanography, Environmental Science, Geography, Spatial Ecology, or a closely related discipline. With no more than five years post
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ExperienceNone Research FieldPhysics » Surface physicsYears of Research ExperienceNone Additional Information Eligibility criteria A PhD in experimental physics and a background in the study of correlated-electron