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imaging and machine learning. The main task of the successful candidate will be to help redefine certain traditional criteria of comparative anatomy used in archaeozoology and to establish new criteria
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computational biophysics Machine learning and data analysis for biological systems Biomedical imaging and signal processing Molecular modeling and simulations AI applications in bioinformatics or health sciences
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– Program in Criminal Justice seeks a full-time, non-tenure track instructor to teach undergraduate courses in the Criminal Justice Program for the 2026-2027 academic year. Courses may be introductory surveys
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proficiency in Python (e.g., NumPy, Pandas, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise: Familiarity with supervised
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biological environments - Experience using machine‑learning algorithms for luminescence signal analysis and sensing applications - Experience writing scientific articles and presenting results at conferences
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execution and milestone completion. Job Requirements Strong background in AI/NLP or speech technologies, with experience in designing and implementing machine learning models. Proficient in software
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 11 days ago
Reponsibilities Perform analysis of large-scale quantitative and qualitative datasets as part of research projects. Use of new tools (machine learning, LLMs, OCR) to collect and process data. Work with bank and
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, proteomics, metabolomics), Capacity to develop and/or apply : Statistical or mathematical models Machine learning / AI methods Systems biology modeling approaches Research position The fellow will conduct
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inference, and Machine Learning methods. In addition to leading their own research projects, the appointed candidate will have the opportunity to contribute to the projects of PhD students in the group, as
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Scientist will perform routine and complex mathematical modeling, machine learning, AI, computational, and statistical procedures to answer a variety of questions focused on direct clinical applications