21 phd-image-processing Postdoctoral positions at University of North Texas at Dallas
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Laboratory Science, and Forensic Science, and Master’s and PhDs in Biology, Biochemistry and Molecular Biology, and Environmental Science. We measure our success by the success of our students and the quality
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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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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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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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, 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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at UNT is seeking a postdoctoral researcher to conduct research on the development of surface acoustic wave/bulk acoustic wave sensor devices. Minimum Qualifications PhD degree in Electrical Engineering or
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manufacturing (AM). These activities will include experimental and computational approaches. The experimental approach will be based on but not limited to materials processing and manufacturing using various
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in the development of projects/activities related to powder processing and alloy development for AM within CAAAM (caaam.unt.edu), a State of Texas funded multimillion dollar initiative with a
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the emphasis of the position will be on the development of nanomaterials for AM and understanding of AM process optimization, functional materials design and compositional grading, electrochemical and