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Field
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phenotyping of health outcomes at multiple time-points. S/he will work within a diverse, highly collaborative, and multi-disciplinary research environment and interact with world leaders in the fields of cancer
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presently operates multiple large HPC systems ranging from a 120k x86 CPU core general purpose system to a system explicitly designed for Artificial Intelligence and Machine Learning, and a nationally
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Engineering, or a related discipline. Proficiency in Java and/or Python programming. Familiarity with software development tools and platforms (e.g., IDEs, cloud environments etc). Demonstrated ability
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, emphasizing Digital Ag’s role in driving positive impact in the agricultural industry. Key Responsibilities include: Develop new embedded software applications using Matlab Simulink, Python, and C++ development
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with imaging-based data. Experience with data science tools, analytics and programming languages (e.g. R, python) and HPC Excellent interpersonal and communication skills across clinicians, wet-lab, and
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from visual and auditory cortices recorded over multiple days Apply and adapt advanced machine learning frameworks (SPARKS and CEBRA) for supervised and unsupervised analysis of high-dimensional neural
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of Minnesota is seeking two postdoctoral research associates to join a team working on multiple research projects in the field of health data science, artificial intelligence and natural language process
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macroeconomic and financial time series from multiple countries in a single, open resource. In this internship, you will learn how to collect, update and manage historical data. The internship is based in our
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Specialist to join our innovative team. The Research Data Management Specialist will: Manage multiple datasets and corresponding documentation, visualize data, and work closely with the analytic team
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in bioinformatics, bioengineering, systems biology, or a related field. Minimum 5 years of postdoctoral or equivalent research experience. Advanced skills coding in Python for scripting and data