146 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Princeton University in United States
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of squamate reptiles; the largest group of terrestrial vertebrates on Earth today with 11,000 species. A Ph.D. in Evolutionary Biology, Computational Biology, or related fields, is required. The work will focus
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for peer reviewed publications Qualifications*Ph.D. in Environmental/Civil Engineering, Computer Science/Engineering, Data Science, or a closely related field*Proficiency in Python or other tools and ML
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training and a significant track record in one of the following areas: -computational biology -computer science -electrical or computer engineering -genomics -neuroscience -population genetics / genomics
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of supplies, reagents and samples. Minimum Required Knowledge, Skills, Competencies, and Abilities *PhD required *Prior experience working in a research environment *Experience in working in a microbiology lab
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, operations research, computer science, or another related field is required. Experience working across disciplines and with industry is highly desirable.The term of appointment is based on rank. Positions
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topics such as robot learning, human-robot interaction, Generative AI, computer vision, closed-loop control, extended reality (XR), and computational design. Job Description We seek to hire outstanding
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technologies, computer vision, and perception Foundational knowledge of machine learning Experience developing custom tools and end effectors for robotic assembly Good knowledge of the CAD software Rhinoceros 3D
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, to study novel renewable energy technologies. The candidates are expected to have a PhD degree in Chemical Engineering or related field, and have experience with optimization (theory, modeling, and tools
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of Quantum Materials program is an integral part of EPiQS and supports theoretical physicists of outstanding promise at an early stage of their careers. The Moore Postdoctoral Scholars are provided with a
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The Program in Latin American Studies (PLAS) is seeking candidates from any discipline who are engaged in scholarly research on topics related to Latin American Studies, including the Caribbean and