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), hepatic failure, renal failure, sepsis, coma, hypertensive crisis, GI hemorrhage, endocrine/electrolyte imbalance and cancer/bone marrow transplant patients who are experiencing complications. Utilize
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machine learning. Proficient in programming languages such as Python, C++, and MATLAB. Strong publication record in relevant research areas. Excellent communication and teamwork skills. Modes of Work Hybrid
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Required Qualifications* PhD degree in bioinformatics Minimum 1 year of relevant experience Hands-on experience with R and/or Python and performing independent computational modeling. Ability to maintain
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), developing and testing a codebase for arbitrary waveform programming (including a C-to-Python library), and building a computing and networking infrastructure for a new laboratory, including experimental
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evaluations. Data Management and Knowledge Generation (50%) Use a strong proficiency with SQL as well as a working knowledge of Python, R, Spark, and/or Google Workspace to gather, create, and use datasets
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- Introduction to Geographic Information Systems (GIS) Limited Availability Positions, up to 2 positions available Required Availability: Tue, Thu 4:00-5:00pm Estimated FTE: 18.7% - 5.5 to 7.49 hours per week
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eco-workday coordination and leadership (occasional weekend work) Locate and identify native and exotic invasive plants Use GPS/GIS apps and equipment / programs to collect and manage spatial data Apply
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volunteers on weekend eco-workdays (occasional weekend work) Locate and identify native and exotic invasive plants in Arboretum high quality natural areas Use GPS/GIS to navigate, collect, and manage spatial
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. Required Qualifications* Must be a senior undergraduate, graduate, or postdoc student Extensive programming experience in Python, with proficiency in Torch, Scapy, C programming, and Linux command-line tools
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systems. Certified or Registered Medical Assistant. SGNA - Advanced GI Technical Certification or ASG Work Schedule Monday-Friday, variable start times. Rotating Saturdays and evenings (UH MPU). On-call