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least five years of experience in software development, with at least one year in a senior developer role. Experience with a range of programming languages, which could include Python, VBScript, HTML, SQL
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Analysis 50% Development and implementation of data analysis methods to be used on two-photon imaging datasets collected by scientists within the center Write custom codes in Matlab and Python Develop
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have: Ph.D. in Biostatistics, Statistics, Bioinformatics, Data Science, or related field; with (i). technical skills such as Proficiency in R, Python, or SAS for statistical analysis and modelling; (ii
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platforms (e.g., Azure, AWS, Databricks) and version-controlled collaborative development environments (e.g., GitHub). • Strong programming proficiency in Python; experience with ML frameworks such as PyTorch
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scheduling. SKILLS Proficiency in data models, queries and reports in Excel, Python or R, SQL, Tableau or PowerBI. Strong skills in data validation, profiling and integrity checks. USG Core Values The
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, political, and narrative conditions that determine whether federalism functions as a safeguard of liberal democracy or as a facilitator of its fragmentation and weakening. Where to apply Website https
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. Additionally, you must have: Very good academic performance in previous studies. Solid knowledge in automatic control and systems theory. Good proficiency in programming (e.g. in C, C++, Python, Julia, or Matlab
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languages (e.g., R, SAS, Python). Working Conditions Office-based. Application Documents Resume (required) When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled
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Ph.D. in science (chemistry, physics, biology, etc.) or engineering required 7+ years of experience in computational physics or related area Proven experience coding in C/C++, Fortran, and/or Python
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
), with evidence in open-source code or deployed tools. - Solid programming and ML/NLP engineering skills in Python or ideally modern deep-learning stacks (e.g., PyTorch/JAX, HuggingFace/Transformers