782 computer-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" positions at Nature Careers
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Job Description The IT Technician (Level II or I) is responsible for providing hardware and software support for local computing resources. Supports local networking resources and requirements
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degree in data science, geography, environmental sciences, urban planning, computer science, design, or a related field Strong interest in sustainability, environmental systems, and spatial data Skills in
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Biomedical Engineering, Electrical Engineering, Computer Science, Data Science, Biomedical Informatics (Computational) or a related discipline who possesses strong computational and analytical expertise
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maintaining all regulatory requirements and adherence to the quality management program. The position is on-site, Monday - Friday, primarily day shift (10:00 AM - 6:30 PM) with flexibility in working schedule
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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biotechnology platforms, and oversee quality check. Design and prepare materials and courses for training on various bioinformatics software and databases, computing, data mining, and analysis. Act as a liaison
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computing. Its activities are characterized by strong methodological and analytical expertise, with a focus on advancing fundamental knowledge while contributing to innovative solutions for complex scientific
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with clinical PACS systems and DICOM data handling Knowledge of Python and/or MATLAB, especially in scientific computing and image processing contexts Enthusiastic and motivated team player Good
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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and expanding team. You’ll play a key role in our success through your code, publications, and strategic promotion of our work. * PhD in Computer Science, Biomedical Informatics, Machine Learning