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Field
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and Sciences | Astronomy The Department of Astronomy seeks a Senior Research Technician to join the Astro-Machine-Learning Laboratory. Our group conducts cutting-edge research across multiple domains
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, Tableau, Python and Alteryx. Following industry standards, individual utilizes multiple sources of integrated data and plays a key role in reporting conclusions to leadership regarding metrics, goals
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, particularly with multiple objectives and/or at the intersection of machine learning and operations research Publications in leading, peer-reviewed journals in the fields of operations research, transportation
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scientific conferences. Writes clean, performant, reusable code managed on GitHub to perform repeatable analyses and to train and deploy models to multiple environments. Primary Duties and Responsibilities
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fields (e. g. physics, computer science, electrical/electronic engineering, chemistry etc.). The knowledge of Python, C or other programming languages in use for accelerator facilities is advantageous. We
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experience may also be considered. ● Excellence in teaching, course support and student mentorship. ● Ability to work independently while supporting multiple Business/Economics courses. ● Strong
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‐sharing agreements. Data analysis & interpretation: Process and interpret high‑throughput sequencing outputs to assess biodiversity patterns across multiple MPA sites. Comparative evaluation: Critically
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multiple types of high-dimensional data. Researching and implementing novel algorithms for analysis of latent factors and their dynamics. Conducting literature searches, manuscript preparation, and
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are: Technical Expertise in developing applications with Generative AI and LLMs such as GPT, Claude, or Gemini and demonstrated experience with Python. Excellent with follow-up and follow-through
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discipline relevant to our research fields (e. g. physics, computer science, electrical/electronic engineering, chemistry etc.). The knowledge of Python, C or other programming languages in use for accelerator