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: Experience in deep learning, machine learning and medical imaging processing Programming experience: Python, MATLAB, SPSS, Shell. Experience in working with Linux workstation. Excellent verbal and written
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experimental systems for cryogenic measurements Development of a microwave quantum control & readout stack Development of Python code to operate quantum systems Detailed experimental characterization
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the consortium Your Profile: Excellent Master and subsequent PhD in computer science, engineering, biophysics, applied mathematics, computational biology or a related field Proven programming expertise in Python
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 6 hours ago
. The full job description is available at https://www.mghpcc.org/job-opportunities/ Job Requirements REQUIRED: A minimum of five years of experience developing full-stack applications, with proficiency in
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 6 hours ago
team delivering critical infrastructure to some of the nation’s leading AI researchers. The full job description is available at https://www.mghpcc.org/job-opportunities/ Job Requirements REQUIRED
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approaches using R/Python. Provide general research support to assist laboratory researchers with experiments on an as-needed basis. The applicant is required to be familiar with primary cell culture, single
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, computer vision, or forecasting. Proficiency with statistical computer languages such as Python or R. Proficiency with relational database systems (SQL) and object-based data stores. Ability to define and
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experience deploying ML systems into production environments, with a focus on performance, robustness, and scalability. Domain expertise in NLP, computer vision, or speech processing. Proficient in Python
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Postdoc for the study of age-dependent colorectal cancer metastasis 100% Department for BioMedical Research, https://www.dbmr.unibe.ch/, UVCM, Gastroenterology Start of employment: 01.03.2026 or as
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include building an ETL pipeline for ENCODE genomics data, writing Python code for data analysis, and a downstream R pipeline for post-processing data using standard Bioinformatics libraries from