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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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should also actively contribute to and collaborate with the CRC TACO, https://sfb-taco.at/ a joint research project funded by the Austrian Science Fund. Qualification: Applicants have outstanding
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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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-aware modeling) - Understanding of RFID, retail reporting, inventory, compliance, or operational analytics (a plus) - Experience with Tableau or Python (bonus) - Experience using Power BI Desktop
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such as C#, Java, C++, or Python. Preferred Qualifications - Currently enrolled as an Auburn University student (preferably an undergraduate Sophomore or Junior) - Available for the Summer and Fall
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provides growth and professional development opportunities. To learn more about the Utah DCC visit http://uofuhealth.org/UtahDCC Learn more about the great benefits of working for University of Utah
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provides growth and professional development opportunities. To learn more about the Utah DCC visit http://uofuhealth.org/UtahDCC Learn more about the great benefits of working for University of Utah
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provides growth and professional development opportunities. To learn more about the Utah DCC visit http://uofuhealth.org/UtahDCC Learn more about the great benefits of working for University of Utah
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. Strong understanding of AI/ML concepts, methodologies, and applications. Proven ability to gather program in AI. Deep expertise in Python and standard ML/Data Science libraries (e.g., TensorFlow, PyTorch
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logs; comfort writing basic queries and simple scripts (PowerShell or Python) to automate routine tasks. Understanding of FERPA and GLBA Safeguards; awareness of PCI DSS fundamentals. Effective