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combination of education and experience Skills Required: Strong proficiency in one or more modern programming languages (e.g., JavaScript/TypeScript, Java, C#, Python) Solid understanding of web‑based
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, minitab, python, R, etc.). • Strong technical writing and documentation (e.g. Lab Notebook) skills. Compensation, Benefits and Position Details Pay Range Minimum: $80,244.00 annual Pay Range Maximum
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 3 months ago
operates the first Czech quantum computer named VLQ. https://www.it4i.cz/ Activity description: · development of a Python application with a graphical interface, · compilation of parallel applications and
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quality assurance Furthermore, collaboration with experimental and other theoretical groups in Vienna is desirable. Candidates should also actively contribute to and collaborate with the CRC TACO, https
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design and programming (i.e. R or Python). Knowledge of multivariate analysis techniques such as multiple analysis of variance, multiple regression, logistic regression, and factor analysis. Research Study
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, diesel generators, and other sources. Implement predictive, rule-based, or optimisation-based control strategies using MATLAB/Simulink, Python, or embedded software tools. Integrate controller logic with
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good academic & judicial standing with the University of Arkansas Have programming experience in Python and/or R Must have previously completed Calculus I and/or Calculus II or equivalent Preferred
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laboratory Co-authorship on a research article or manuscript in preparation First-author presentation at a research conference -Experience with coding (ideally in Python) and statistics, and affinity
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using Python, R, and/or SQL. You understand the interconnected nature of admissions, student, HR, research, and finance data, and can apply advanced statistical and predictive modeling techniques
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workloads including embedding generation, LLM inference, and cognitive search. Develop Snowpark Python transformations, UDFs, and machine-learning features. Implement vectorized storage, model-serving