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Field
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The Engreitz and Kundaje Labs are seeking a Computational Biologist / Project Manager (Biostatistician 2) to join the Department of Genetics to map the regulatory wiring of the human genome to discover genetic
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Demonstrated research experience in computational physics, machine learning, or related areas. Practical experience in developing novel AI/ML models and algorithms. Experience collaborating in multidisciplinary
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algorithms for very high speed coherent passive optical networks (VHSP) Implementation of DSP algorithms in MATLAB/C++, that can be used for ASIC development Development of our DSP software tools Research work
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(at the time of contract) for that position. Job-description: - evaluation of mass spectra from the Cosmic Dust Analyser onboard the Cassini space probe - collaboration with a computer scientist who is
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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Applied Machine Learning: Knowledge of integrating machine learning models and algorithms into applications. • A knowledge of applied computer science and AI in software/app development and rapid prototype
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or improvement. The intern will analyze the performance of AI models by comparing model predictions against established benchmarks. They will contribute insights on how to optimize algorithms and improve
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Qualifications: (as evidenced by an attached resume) * Ph.D. degree in Data Science, Computer Science, Bioinformatics, Biomedical Engineering, Computational Biology, Neuroscience, or a related field. * 5 years
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Warsaw University of Technology/the Centre for Advanced Materials and Technologies, CEZAMAT | Poland | 6 days ago
Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 26 Aug 2025 Is the job funded through the EU Research Framework Programme? Other EU programme Reference Number WG4 TL1 Is the Job related
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Internship Program – PhD Hire – NY/Philadelphia area Location: Bala Cynwyd, Pennsylvania 19004, United States of America [map ] Subject Areas: Industrial Engineering Statistics Physics Economics Mathematics