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Machine Learning Professor Jobs in Texas (NOW HIRING)

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Machine Learning Professor information

What are the key skills and qualifications needed to thrive as a Machine Learning Professor, and why are they important?

To thrive as a Machine Learning Professor, you need deep expertise in machine learning algorithms, mathematics, and data science, typically supported by a Ph.D. in computer science or a related field. Familiarity with programming languages like Python and R, as well as tools such as TensorFlow, PyTorch, and academic research platforms, is essential. Exceptional communication, mentorship abilities, and enthusiasm for teaching help inspire and guide students and peers. These skills ensure effective research output, high-quality teaching, and the development of future leaders in the field.

How does a Machine Learning Professor typically balance research, teaching, and mentorship responsibilities?

Machine Learning Professors usually split their time between conducting original research, teaching undergraduate and graduate courses, and mentoring students. Balancing these responsibilities can be challenging, particularly when managing multiple research projects and supervising student theses. Professors often collaborate with industry partners and other academic departments, which enhances research opportunities but also adds to their workload. Effective time management and prioritization are key to thriving in this dynamic environment, and universities often provide some flexibility in teaching loads or research support to help maintain this balance.

What does a Machine Learning Professor do?

A Machine Learning Professor teaches university-level courses on machine learning, data science, and related topics. They conduct original research in the field, often publishing their findings in academic journals and presenting at conferences. In addition to lecturing, they mentor students, supervise theses or dissertations, and may collaborate with industry partners on research projects. Their work helps advance the understanding and applications of machine learning.
Machine Learning Professor jobs near you
Infographic showing various Machine Learning Professor job openings in Texas as of May 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.
Assistant Professor - Cardio/Thoracic Surgery

Assistant Professor - Cardio/Thoracic Surgery

Baylor College of Medicine

Houston, TX

Full-time

Posted 8 days ago

Baylor College of Medicine rating

8.6

Company rating: 8.6 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

51st of 535 rated colleges and universities

Job description

Baylor College of Medicine

Baylor (www.bcm.edu) is recognized as one of the nation’s premier academic health science centers and is known for excellence in education, research, and healthcare and community service. Located in the heart of the world's largest medical center (Texas Medical Center), Baylor is affiliated with multiple educational, healthcare and research affiliates (Baylor Affiliates).

Summary

The Michael E. DeBakey Department of Surgery (department) in the Division of Cardio/Thoracic Surgery at Baylor College of Medicine (BCM) seeks a highly qualified individual with a PhD and postdoctoral experience in Computer Science, Data Science, Medical Informatics or Equivalent Field. The Assistant Professor would serve as scientific lead for Dr. Ravi Ghanta, overseeing the Department of Surgery ATLAS AI program they would make decisions and take responsibility for scientific progress and help Dr. Ghanta manage the large team involved in the grant.

Under this role, the Assistant Professor will work on research projects involving machine learning and artificial intelligence with application to electronic health data. The Assistant Professor is expected to be able to perform overseeing data engineering of electronic health data for application of machine learning or artificial intelligence tools, interoperability with EHR systems, and evaluation of algorithm predictive performance. The Assistant Professor is also expected to lead research personnel involved in the Dept of Surgery ATLAS Ai program. They will interact directly with postdoctoral fellows, graduate students, and medical students.

Job Duties

• Oversee and coordinate logistics and execution of various research projects.

• Manage project progress and execution of project goals and milestones.

• Plan and direct research experiments related to research studies implementing the MasSpec Pen technology for tissue analysis and cancer detection.

• Organize, evaluate, and analyze data with other researchers.

• Develop research techniques and perform applications required for specific research projects.

• Conduct literature searches and summarize information in an appropriate format for a particular study.

• Document results of experiments and reports to principal investigators.

• Supervise, schedule and coordinate the activities of the research team involved in multiple research projects.

• Write progress reports, manuscripts and grant proposals.

• Manage execution of experiments using mass spectrometry instrumentation, as well as data and statistical analysis.

• Lead clinical studies and participate in research involving human subjects. Interact directly with clinicians, surgeons, and pathologists to fulfill the aims of the research projects.

• Supervise research staff including graduate and undergraduate students.

Minimum Qualifications

Required Education and Experience: Ph.D. in computer science, data science, medical informatics, or related field. Successful track record of collaboration with clinical investigators and in interdisciplinary teams; accomplished academic record sufficient to fulfill criteria for an assistant professor level faculty appointment at Baylor College of Medicine.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.

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