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Excellent publication track record on top tier conferences/journals Proficiency in programming language Python Excellent verbal and written communication skills We regret to inform that only shortlisted
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/Python), deployment (to the agents' onboard computational hardware using the Robot Operating System), and experimental testing (on unmanned vehicle swarms). A solid competency with the standard
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for ML / LLM algorithms working over free-text clinical data and potentially mixed modalities (waveform, DICOM images etc.) Data manipulation and analysis capability, e.g. machine/deep learning in R/Python
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support applied research on Texas residential markets. The ideal candidate will have experience collecting and analyzing economic data, proficiency in statistical tools like R or Python, and the ability
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to meet deadlines. Working knowledge of application and data security concepts. Fluency in at least two of Python, Java, or JavaScript is essential. Familiarity with GitHub, open source software, and the
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Banking. Your skills and attributes for success: Expertise in one or more of the following areas: Machine Learning, Reinforcement Learning, or LLM orchestration. Strong programming skills in Python and
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but in-person availability preferred. Courses will be taught in R (Quant. Methods-Data-Science-Stats and Data Visualization courses) and Python (GIS and AI courses). Apply only for one course and
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strictly required Familiarity with basic statistical or epidemiological concepts and data analysis Experience with R or Python for data wrangling and visualization Detail-oriented, organized, and able
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software programs that support this work such as Esri’s ArcGIS suite, Adobe Creative suite (InDesign, Illustrator, Photoshop), R, and/or Python. Preferred Qualifications • Experience with Esri’s ArcGIS suite
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ability to think critically about scientific analysis in order to ensure robust results Computational skills to include experience of using a statistical package (e.g., R, MATLAB or Python) Ability to work