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Field
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-cultural and interdisciplinary team Adaptable and willing to enter into deep learning in new areas Fuent in written and spoken English with good communication skills Hiring Institution: LKC
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deep learning. Strong analytical skills, a track record of publication in high-impact journals, and an ability to work collaboratively within a multidisciplinary team is essential. Key Responsibilities
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learning or deep learning in image post-processing Experience using optical tools, e.g., high-speed cameras, intensifiers, spectrometers, lasers, etc. The applicant for the position of a doctoral Candidate
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at the intersection of innovation and tradition. Renowned for hands-on learning and pioneering research, Mines educates future leaders in STEM fields who will make a meaningful impact on the world. Our vibrant
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and run it efficiently on different hardware architectures. For example, Google has built TensorFlow, a framework for deep learning allowing users to run deep learning on multiple hardware architectures
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 2 months ago
of machine or deep learning models to identify patterns of codon usage in yeast genomes, 2) the implementation of tRNA-sequencing across diverse yeasts and conditions, and 3) the construction of tRNA deletion
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” skills coupled with in silico data analysis and QC skills. Deep understanding of molecular protocols and capacity to “tear down” protocols, identify opportunities for improvement, and development
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and structure modeling for protein, RNA, or small molecule. Apply computational techniques, data analysis, and visualization methods for ongoing studies. Train and validate large deep learning models
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simulations of PDEs, deep learning, neural networks. Our research interest: Our focus is on theoretical and computational biological physics, ranging from the study of molecules to cells. We strive to leverage
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capable, adaptable, and collaborative researcher with deep expertise in geochemistry, economic geology, or data science, and a strong interest in working across disciplines. The successful applicant will