Faculty research interests include algorithms and theory, AI and machine learning, bioinformatics, cyber-physical systems, computer networks, computer science education, computer vision and image processing, computational topology, data science, high performance computing, human computer interaction, open-source software, robotics and remote sensing, security and privacy, and software engineering.

Education: High School Diploma or equivalent required, preferred currently enrolled in college courses in Digital Forensic Science, Computer Science/ Engineering, Computer Information Systems, Mathematics, Criminal Justice, or a related field and one or more years work experience in computer hardware, network administration, or cyber-crime investigations.

Research foci such as, but not limited to, K-12 engineering education, integrated STEM+computing teaching and learning, computer science teacher education, and STEM special education are welcomed.

Master's degree in computer science, computer information systems, computer information technology, computer engineering, or computer-based information systems or related field(s.

Bachelor's degree in education or professional experience in one or more of the following areas: Computer Science, IT, Business Analytics, Statistics, Social Science, Research Methodology, Business or Data Management.

The Bozdag Lab in the Department of Computer Science and Engineering at the University of North Texas ( has an opening for a Postdoctoral Research Associate to work on NIH-funded research in bioinformatics.

We also offer Master's degree programs in Computer Science, in Bioinformatics, in Data Science (jointly with Dept. of Math/Stat), and in Computational Linguistics (jointly with LLD, expected to begin in Fall 2024.

As the Senior Scientist of Computer Vision in Translational Data Science, you will be at the forefront of applying artificial intelligence (AI) to revolutionize our understanding of disease biology and the mechanisms of our therapeutic interventions.

Working with a faculty adviser, the postdoctoral fellow will conduct specialized research in one or more areas of Atmospheric Science , including atmospheric chemistry; climate and atmosphere-ocean dynamics; cloud microphysics, severe storms, and mesoscale meteorology; data assimilation, machine learning, and causal discovery; education and human resources; global biogeochemical cycles and ecosystems; and radiation and remote sensing.

Desired: A degree in any engineering field, computer science, physics, or chemistry Commercial, naval or Nuclear power plant experience Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, mathematics, physics or chemistry (e.g. Bachelor.

Apply bioinformatics, data science, molecular biology, and computer science expertise to drive projects developing and refining Caris’ clinico-molecular data products for use by both external partners and internal Caris R&D.

Undergraduate degree in Biology, Chemistry, Materials Science, Genetics, Biochemistry, Computer Science, or Electrical Engineering is preferred. The ideal candidate will possess strong academic credentials and a background in Biology, Chemistry, Materials Science, Genetics, Biochemistry, Computer Science, or Electrical Engineering.

Graduate degree in psycholinguistics, linguistics, cognitive science, computer science, or a related field. Graduate-degree-level knowledge of psycholinguistics, linguistics, cognitive science, computer science, or a related field.

The ideal candidate will have a strong educational background in computer science, computer engineering, or electrical engineering, coupled with experience in various aspects of computer science, including artificial intelligence, machine learning, operating systems, databases, data structures, computer networking, virtualization, file systems, digital design, and computer architecture.

Or MatlabPreferred:Experience working within DoD/IC Analysis or Operational environmentsExperience with Git, GUI development, open source scientific computation, computer vision, physics modeling, or machine learning toolsARL at Penn State is an integral part of one of the leading research universities in the nation and serves as a University center of excellence in defense science, systems, and technologies with a focus in naval missions and related areas.