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University of California, Los Angeles | Los Angeles, California | United States | about 13 hours ago
Table 23 in the UC Salary Scales . A reasonable estimate for this position is $69,073- $82,836. Application Window Open date: April 6, 2026 Next review date: Wednesday, May 6, 2026 at 11:59pm (Pacific
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 6 days ago
of the results. Legislation and official rules: Decree-Law no. 57/2016 of 29th August, which approved the doctorate hiring regime destined to stimulate scientific and technological employment for all knowledge
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of applying a wide variety of scientific principles and theories. Maintains substantial knowledge of state-of-the-art principles and theories. Develops advanced analytical models and systems and provides
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to address the most urgent societal challenges of our era. We foster excellence in both fundamental and applied research, spanning fields such as neuroscience and cognition, humanoid technologies and
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Location ESOC, Darmstadt, Germany Our team and mission The Operations Definition and Engineering Team is an expert team responsible for providing Ground Segment and Operations (GS&O) support
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for publication. These efforts contribute to the advancement of scientific knowledge and enhance the institution’s academic reputation CORE JOB FUNCTIONS · Conducts research in designated areas, including
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public institution of higher education. Rutgers is dedicated to teaching that meets the highest standards of excellence; to conducting research that breaks new ground; and to turning knowledge
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language and compiler ecosystems to accelerate scientific software development at scale. Major Duties/Responsibilities: Agentic AI for High‑Productivity Languages: Develop multi‑agent reasoning systems
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each essential duty satisfactorily with or without reasonable accommodations. The requirements listed above are representative of the knowledge, skill, and/or ability required. This position has
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capabilities, but they still face critical limitations in reasoning, explainability, robustness, and domain adaptation. This project explores integrations of modern LMs with ontologies and knowledge graphs