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Field
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algorithms for inferring multi-modal, condition-dependent networks from datasets with millions of samples (cells) between tens of thousands of nodes (genes and genetic features). Design robust evaluation
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maintain algorithms for accurate detection, segmentation, and classification of cells and structures in biomedical microscopy images. This position will also work to align high dimensional (HD) images of
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, genetic information, or citizenship within the limits imposed by applicable federal, state and local laws and regulations. Not sure you meet all qualifications? Let us decide. We are committed to employing
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1,000 full-time instructional faculty. General Information: The JMU Optimization & Algorithmic Theory (OAT) Lab is looking for up to four (4) student research assistants (RAs) to join our team! The OAT
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limitations or potential issues with datasets and data types that may impact performance from machine learning algorithms. Re-trains models as needed to address new challenges or novel goals. Aids investigators
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implement optimization models tailored to transportation and logistics contexts. Develop and refine custom heuristics and metaheuristics (e.g., Tabu Search, Genetic Algorithms) to solve large-scale, real
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Research Assistant for Applied Mathematics - Responsibilities - Analyze a dataset of case law in the domain of worker classification and develop algorithms to predict judges decisions based
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, molecular biology, bioinformatics, human genetics, or a related field with appropriate experience in cancer research. Experience in organoids development, next generation sequencing (NGS)-based, single cell
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networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis
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5 Sep 2025 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis Research Field Computer science Mathematics » Algorithms