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: Tainan, T'ai-wan 701, Taiwan [map ] Subject Areas: pure and applied mathematics and related fields such as probability and statistics, operations research, image processing, data science, or financial
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respective referees (with signatures; digital signatures acceptable) to Director Norman Y. Teng at scea@gate.sinica.edu.tw . Submission Deadline: 30 April 2026 (Taipei local time) Institute of European and
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, Medical Image Analysis and Clinical Big Data Analysis research, or a related discipline A successful candidate will have ability to apply for research grants and teach graduate courses Preference will be
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, Computational neuroscience, including but not limited to deep learning, Neuroimaging (MRI, EEG, MEG, ultrasound or optical imaging), especially multi-modal imaging, Brain stimulation (TMS, tDCS, or tACS), and A
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the creation of new probes for sensing and imaging, the advancement of optical microscopy techniques, mass spectrometry, and NMR spectroscopy. Applicants will have a PhD or equivalent degree with postdoctoral
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Probability Mathematical foundations for AI Applicants are encouraged to suggest potential NCTS mentors from mathematicians based in Taiwan. Application Process All applications must be submitted online
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of the operation of two Taiwan beamlines at SPring-8, Japan and a cold-neutron triple-axis spectrometer, SIKA, located at the Australian Nuclear Science and Technology Organisation (ANSTO), Australia
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publications, arXiv publications, PhD thesis. Shortlisting procedure Phase I: mainly based on reference letters and top three publications. Phase II: additionally based on research statement and full text of top
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to Expect: Engage with leading researchers in signal processing, nonstationary time series analysis, manifold learning, and more. This program is tailored for PhD students and researchers across various
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included. We have a rolling recruitment process and will review applications as they are received. Suitable candidates will promptly proceed to the subsequent evaluation stage. Applicants are advised