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language, e.g. MATLAB, C/C++, Python. Highly motivated and keen on working in an international and interdisciplinary team. Applicants with strong background in the following fields are preferred: Machine
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English, econometric studies, programming in R or Python, writing in LaTeX, and 2 at least of: mastering difference-in-differences and regression discontinuity design methods and their application, topic
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: mastery of variant calling protocols, programming/scripting languages (Python, R, bash), the use of computing clusters, and FAIR practices. This project also requires a good command of evolutionary genomics
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reviews or reports. Proficiency with Python-based scientific programming tools. Desired Qualifications: Knowledge of superconducting qubits and device physics. Experience with gate calibration
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(particularly for judges) Interest in justice issues and multidisciplinary work. Python programming skills and experience with ML libraries. Expertise in LLMs (e.g., GPT, BERT, T5) and related frameworks (e.g
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
-motivation and ability to work on projects independently; proven ability to handle multiple projects concurrently and meet deadlines; and demonstrated proficiency in Python and willingness to contribute
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with Python-based scientific programming tools. Desired Qualifications: Knowledge of superconducting qubits and device physics. Experience with gate calibration on superconducting QPUs. Knowledge
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 14 minutes ago
inductively coupled plasmas, arcjets, Python, or CAD design for hardware integration is desirable. Point of Contact Mikeala Eligibility Requirements Citizenship: LPR or U.S. Citizen Degree: Doctoral Degree
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the relevant literature, and are proficient in Python and common ML frameworks. What you will do You will design and evaluate learning-based methods for navigation and perception, develop and analyse
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PhD or MSc in a relevant field of research (Bioinformatics or Computational Biology). Extensive experience in R or Python software development. Understanding of types and properties of mass spectrometry