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methods Prior experience with high-throughput experimental (combinatorial), data-drive, or AI/ML-assisted research methods and techniques. Active computer skills in programing (e.g. C or Igor Pro, Python
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. The ideal candidate thrives in interdisciplinary settings and is eager to contribute to method-driven research with real-world impact. Required qualifications include: PhD in electrical engineering, computer
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considering also the physical interactions between gesture and vocal production movements (e.g., breathing and articulation). The project looks at co-singing gesturing practices in three different vocal
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, or robot perception. Strong programming skills in Python and/or C++, with experience in robotic software frameworks (e.g., ROS/ROS2). Experience with machine learning or computer vision methods, preferably
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reporting requirements on AI for Health research and projects. Required Qualifications Ph.D. in Biomedical Engineering, Computer Science, Electrical and Computer Engineering, Integrated Systems Engineering
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. To this end, we will employ advanced molecular, cellular, and systems biology methods and tools, as well as various research models—from standard cell lines to primary lines and several mouse models
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, including undergraduate and graduate students, to work on project(s) undertaken; work with and coordinate collaborating research staff, providing input on methods and procedures necessary to achieve desired
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make a difference in the world! Position Information Texas A&M AgriLife Research – Dallas Center (https://dallas.tamu.edu/ ) is seeking a highly motivated individual to join the Controlled Environment
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Job Description Job Responsibilities: -Develop method for target and non-target analysis of emerging contaminants in different matrixes. -Adapt advanced materials and technologies for emerging
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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 20 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different