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of the following areas will be a merit. Advanced AI methods development in Python or any other relevant programming language Computer Vision and image analysis Handling of large dataset Qualifications Applicants
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, operation of the scanner, data acquisition and analysis, image evaluation, and statistical analysis. The fellow will also be expected to prepare manuscripts and conference abstracts related to projects and
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experience in electrochemical sensor technologies, including surface chemistry, functionalisation, and biomarker detection Proficiency in signal processing, prototype design and integration, and
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instrumentation and sample processing workflows Ability to work independently, manage multiple projects, and contribute actively to collaborative research Excellent organizational skills and attention to detail
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creative ideas in supportive environments. The clinical infrastructures include multiple imaging scanners, including a long axial field-of-view (LAFOV) PET/CT scanner, and aims to push the limits of modern
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%) All candidates will be expected to conduct basic fieldwork and participatory design engagements with partners and stakeholders. [Non-technical candidates] Conduct far-reaching fieldwork across multiple
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opportunities for our trainees and researchers to freely explore creative ideas in supportive environments. The clinical infrastructures include multiple imaging scanners, including a long axial field-of-view
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the application process may be sent to : qup_job_inquiry@ml.post.kek.jp List of research description (with the Principal Investigators) Optical TES (Kaori Hattori) The group focuses on experimental dark matter
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/reloading models for studying musculoskeletal adaptation Experience in mouse dissections and surgery Prior work in animal/tissue imaging, including microcomputed tomography analysis, as well as histological
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Posting Details Position Details Title Postdoctoral Fellow in Inner-Ear Biology Specific Title Appointment Type Postdoctoral Fellow Department IUSM - Otolaryngology-Head & Neck Surgery Campus IU