12 phd-mathematical-modelling Postdoctoral positions at University of North Texas at Dallas
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, Medical Laboratory Science, and Forensic Science, and Masters and PhDs in Biology, Biochemistry and Molecular Biology, and Environmental Science. We measure our success by the success of our students and
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characterization and/or monitoring. The computational activities will include computational approach for additive manufacturing process design, monitoring, and control and modeling for material evolution. The skills
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at the undergraduate and graduate level. Minimum Qualifications • The candidate should have completed their PhD in chemistry or a related field and have experience and interest in biotechnological production of natural
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), Arabic, Tagalog, Farsi, French, or/and Yoruba. Position Overview Additive manufacturing (AM) is a transformational technology for fabricating complex metallic shapes directly from 3-D digital models
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important for therapeutic interventions. Research requires extensive experience with oligonucleotides and cell printing technologies. Minimum Qualifications PhD in Biomedical Engineering Experience in
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), Arabic, Tagalog, Farsi, French, or/and Yoruba. Position Overview The combination of machine learning and advanced manufacturing offers the potential to model and predict the performance of high-performance
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communication skills Project organization/management skills Advanced training in quantitative research methods Ability to work independently and as a team member Preferred Qualifications PhD Required Required
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mentoring students at the undergraduate and graduate level. Minimum Qualifications • The candidate should have completed their PhD in biochemistry or a related field and have experience and interest in
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. The Center is also home to the Structural Anatomy and Rehabilitation Sciences (STARS) PhD program that prepares graduate students to join the workforce as researchers and anatomy educators. The Center also
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and electronic materials with an emphasis on performance in extreme environments, and workforce development to meet the semiconductor sector needs. We leverage advanced simulation and modeling