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Field
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, Experimentation, Flow Cytometry, Immunohistochemistry (IHC), Informatics, In Vitro Assays, In Vivo Assays, Laboratory Operations, Laboratory Techniques, Molecular Biology, Omics, Python (Programming Language
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for longitudinal data analysis or large language models. Strong motivation in the development and application of digital twins, particularly in health and biomedical contexts. Strong computer programming skills
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: Recently earned a Ph.D. in bioinformatics, computational biology, computer science, electrical and computer engineering, or a related discipline Strong experience in integrating several of the following
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, programming languages, or architecture. This is an open research area position, and the department welcomes applicants from all areas of computer science & engineering who demonstrate strong potential
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for agriculture applications. Duties and Responsibilities: One of the goals of Digital Agriculture Program at Texas A&M AgriLife Research center at Corpus Christi is to develop and apply new and emerging
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/ computational science or related field completed within the last five years. Experience in AI/ML. Skills in a programing language are commonly used in AI/ML. Preferred Qualifications: Deep experience in
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. Required Qualifications • Holding a PhD in Computer Science with a focus on Natural Language Processing. • Knowledge Graphs with strong publication records. Preferred Qualifications • Demonstrated mentoring
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imaging program involving molecular oncologists, cancer biologists, computational biologists, and imaging scientists focused on detecting breast cancer and predicting response to therapy. The position is
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these discoveries into new therapies and diagnostics. We employ cutting-edge approaches in genome engineering, synthetic biology, genomics, and computational biology to illuminate the regulatory networks governing
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(HPC), or large-scale data analysis. Experience in applying AI/ML techniques to hydrological and Earth sciences. Proficiency in scientific programming languages such as Python, Julia, R, Fortran, or C/C