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Forschungsgruppe unter: https://martinpawelczyk.github.io/ Ihre Aufgaben und Verantwortlichkeiten Entwicklung von Methoden und Werkzeugen des maschinellen Lernens mit besonderem Fokus auf: Data-Centric AI
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in this role, you should have: A master’s degree, or be close to completing a master’s degree, in speech or audio processing, machine learning, signal processing, computer science, electrical
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that you meet the following essential criteria: Have a relevant MSc in Electrical and Electronic Engineering/Computer Science (or related discipline). Good hardware / software design skills. Good
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research portfolio, create synergy with its strategic partners, and provide training on causal inference to the next generation of investigators. For more information on CAUSALab, please visit: https
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be found at http://www.bhi.fas.harvard.edu ; information about BHEX may be found at https://www.blackholeexplorer.org/ . Please direct any questions about the application process to Nicole Grenier
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, create synergy with its strategic partners, and provide training on causal inference to the next generation of investigators. For more information on CAUSALab, please visit: https
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Engineering, Mathematics, Computer Science, or a related quantitative field A strong mathematical background, including familiarity with optimization, probability, and the analysis of mathematical models A
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background Knowledge of searching databases Computer knowledge of Microsoft 365 Preferred Qualifications Salary Number of Vacancies 8 Desired Start Date 09/01/2026 Posting Detail Information EEO Statement
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activity submit a summary of the research activity at the end of each semester. Discipline Specific Required Qualifications Health care related background Knowledge of searching databases Computer
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University of Massachusetts Chan Medical School | Worcester, Massachusetts | United States | about 2 months ago
Salary Minimum: USD $62,232.00/Yr. Salary Maximum: USD $75,564.00/Yr. GENERAL SUMMARY OF POSITION: Postdoctoral positions in Deep-Learning Omics are available in the Zhou Lab ( https