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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 10 hours ago
and modelers to use the optical constants in the analysis of observational data from, e.g., Hubble, Spitzer, JWST. Candidates are expected to be proficient doing data reduction and analysis using Python
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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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understanding of how clinical data science and machine learning impact healthcare data in addition to guidance on programming methods to process data. Basic programming skills (Python or R) and knowledge
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at Carnegie Mellon University More Jobs from This Employer https://main.hercjobs.org/jobs/21786147/instructional-support-staff-x3a-assignment-translator-java-to-python Return to Search Results
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responsibilities simultaneously Familiarity with SQL and database technologies such as SQL Server and experience with Python are an asset Department: ICT EnterpriseArch&DataMgmt Status: Term CSPIP 16 month
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sensor systems or mobile/web apps Document experiments, model architectures, training procedures, and results Minimum Qualifications Full Employment Eligibility Requirements can be found here: https
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experience designing, building, and optimising automation frameworks (e.g., Playwright, Selenium, or similar) for UI and API testing, using TypeScript, JavaScript, Python, or Java for automation framework
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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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laboratory work Knowledge of forest and marsh plants Proficiency in R, Python, or a similar programming language Experience in driving a van and trailer Ability to communicate and perform work tasks in Finnish
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of English language. Programming skills and/or experience with statistical software (especially R and Python) and remote sensing of the environment are considered an advantage, as is previous experience in