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and analytical skills 3. Experience in system administration of Linux, Python and Ansible type systems is a plus. 4. Experience implementing network monitoring (SNMP) and alerting is desirable. Primary
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evaluations. Data Management and Knowledge Generation (50%) Use a strong proficiency with SQL as well as a working knowledge of Python, R, Spark, and/or Google Workspace to gather, create, and use datasets
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–200) desirable, as well as experience in TEM/STEM image processing and simulation using open-source Python packages such as atomic simulation environment (ASE) and abTEM. A willingness to occasionally
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., R, Matlab, SPSS, Primer or Python) Experience with data analysis techniques (e.g., ANOVA, PCA, Regression, MDNS) Experience with ecosystem service identification and analysis Excellent data management
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relevant BSc/BA degree (MSc desirable), strong experience with computational approaches (e.g., coding and scripting in bash, R and python), some experience with molecular biology and embryology laboratory
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the development of databases and/or web applications, information modeling, and identification appropriate database resources for implementation. Programming experience of which includes SQL, C+ and/or Python
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year of professional experience with the corresponding language (C++, C#, Java, Python, or similar object-oriented language). Prior teaching experience preferred. Required Documents: ***A resume and
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year of professional experience with the corresponding language (C++, C#, Java, Python, or similar object-oriented language). Prior teaching experience preferred. Required Documents: ***A resume and
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datasets, with strong structured and unstructured database management skills. • Knowledge of LLM evaluation methods, metrics, inference processes and deployment setups. • Proficiency in Python, with
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science skills. Large datasets comprising up to many millions of data points are compiled, cleaned, processed, analyzed and interpreted using Python and R. Many tasks are performed using Princeton's high