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optimize healthcare specific paid media campaigns across Google Ads, Meta Ads (Facebook/Instagram), and other performance marketing platforms. The ideal candidate will have 3+ years of experience with a Mar
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Context and Motivation Bilevel optimization problems, in which one optimization problem is nested within another, arise in a wide range of machine learning settings. Typical examples include
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Classification Title: Bioinformatics Analyst I Job Description: - Pipeline Development & Optimization: Develop, maintain, and optimize bioinformatics pipelines for NGS data, including demultiplexing
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requirements (HIPAA/FERPA), and Student Health goals. This role oversees the configuration, optimization, and support of the Point and Click (PnC) Electronic Medical Record (EMR) system, while leading a small
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Biochemical Network Analysis group, led by Jürgen Zanghellini . The team focuses on mathematical modeling, artificial intelligence, and high-performance computing to study metabolic networks and optimize
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process optimization. These skills are crucial for developing safe, effective, and reproducible delivery systems for various applications, particularly for nucleic acid-based therapeutics. We are searching
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discover how we can advance health together. . Job Band G2 Position Summary The Chief Pharmacy Buyer is responsible for overseeing and optimizing drug procurement practices across Duke Health System’s
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University of Northern British Columbia | Prince George North, British Columbia | Canada | about 20 hours ago
data and insights to optimize recruitment outcomes and support business growth. This position also oversees the job evaluation process for exempt and union staff, in accordance with university policies
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, Resolute HB, or Prelude, is highly preferred. · System Optimization: Ability to configure and optimize Epic revenue cycle workflows to improve scheduling, billing, claims processing, and collections
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intelligence, and high-performance computing to study metabolic networks and optimize microbes for biotechnological applications. The PhD project aims to predict the optimal compartmentalization of a production