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, analyze, and interpret complex datasets. Comprehensive understanding of scientific principles and rigorous experimental or analytical design. Strong general computer skills and ability to quickly learn new
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computer vision models and web-based decision support tools, to enhance efficiency and decision-making in swine production. Required Minimum Qualifications: • Ph.D. in Animal Science, Swine Nutrition
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. Teamwork: Ability to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications
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collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and
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imaging and diagnostic technologies. QUALIFICATIONS: Ph.D. in Applied Mathematics, Electrical & Computer Engineering, Computer Science, Industrial Engineering, or a closely related field (obtained by start
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-resolution imaging implement and test novel instrument concepts based on astrophotonic technologies (including the photonic lantern and photonic integrated optics), by way of computer simulations, laboratory
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analysis and preparation of papers for publication. Most of the work in the project is expected to be computer-based, with the focus on evolutionary genetic analyses of genome and transcriptome sequence data
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, postodcs and student trainees). The postdoctoral researcher will interact on a daily basis with all LSMBO staff, including mass spectrometry engineers, computer scientists and bioinformaticians. He/she will
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4 Jul 2026 Job Information Organisation/Company University of Twente (UT) Research Field Engineering » Aerospace engineering Engineering » Computer engineering Environmental science » Ecology
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to hardware topology while retaining useful observables. The project addresses this by combining circuit co-design for Google's Willow processor, and classical benchmarking using Pauli propagation and tensor