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University of Zagreb, Faculty of Electrical Engineering and Computing | Croatia | about 2 months ago
20 Nov 2025 Job Information Organisation/Company University of Zagreb, Faculty of Electrical Engineering and Computing Department Department of Electronics, Microelectronics, Computer and
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, or equivalent experience. Electrician I: 1+ year experience working with electrical and low voltage systems. Basic computer skills and familiar with EMCS and CMMS. Proficient in Microsoft Office products
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, and ICCV2025. His work has been published numerous times in top computer vision conferences and journals such as CVPR (x13), ECCV (x6), ICCV (x3), IJCV (x3) and PAMI (x1). His work received a best paper
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expression, marital, civil union or domestic partnership status, past or present military service or any other status protected by the laws of the State of New York. All qualified applicants are encouraged
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expression, marital, civil union or domestic partnership status, past or present military service or any other status protected by the laws of the State of New York. All qualified applicants are encouraged
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, heating hot water, chilled water, medical gas, fire alarm, fire protection, emergency power generation and distribution and main electrical utility distribution, pneumatic tube system, trash / linen
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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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assigned Requirements A Ph.D. degree in Neuroimaging, Biomedical Engineering, Electrical Engineering, Physics, Computer Science, or other related disciplines, with experience or keen interest in processing
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procedures. Operate copy machine. Assist with public skate, cheap skate, and special events as needed. Perform opening and closing procedures. Provide assistance to office staff. Know and perform emergency
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complementary data from other Mars missions to strengthen current models and provide comparative insights that enhance research conclusions from Hope observations. Develop Machine Learning methods and run