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is located at 1000 Chastain Road NW, Kennesaw, GA 30144. Department Information DEPARTMENT SPECIFIC TASKS AND RESPONSIBILITIES: Maintains the assigned location's Purchasing Card (P-Card), cash and/or
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 16 days ago
/Administrative Internal Number: 25565 POSTDOCTORAL ASSOCIATE, McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, to develop computational circuit models, analytical theory, and
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communication skills, demonstrate innovative and analytical thinking, and enjoy working in an interdisciplinary team. Basic Qualifications PhD in Immunology or Cancer Biology. Substantial experience with flow
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editing skills to produce cohesive, learner-centered experiences. Preferred Experience: Doctorate (PhD or DBA) in Data Science, Information Systems, Computer Science, Analytics, or related field. 5+ years
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closely related field. Ability in working with analytical sample preparation methods, analytical equipment and data analyses for biological and molecular samples is required. Prefer experience in wet
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and non-technical audiences. Qualifications: Bachelor’s degree required (Master’s degree or PhD preferred) in Food Science, Sensory Science, Analytical Chemistry, Agricultural Sciences, or experience in
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Internal Number: 7054580 Assistant/Associate/Full Project Scientist - Machine Learning & Data Analytics Advanced Bioimaging Center Department of Molecular and Cell Biology Position overview Position title
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multimodal datasets including neuroimaging, behavioral, wearable, clinical, and longitudinal data • Develop analytic pipelines and statistical models for developmental and longitudinal neuroscience data
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The group of Prof. Ulrich Schmid at the Institute of Sensor and Actuator Systems (ISAS) at TU Wien invites applications for a PhD position starting in July 2026 in the field of MEMS resonators
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Statistics-related degrees: BS in Mathematics with a Statistics Emphasis MS in Statistics PhD in Statistical Sciences (with interdisciplinary data analytics focus) We are committed to teaching at all levels