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. Qualifications Basic qualifications (required at time of application) PhD (or equivalent international degree) or enrolled in a PhD (or equivalent international degree) program. Additional qualifications (required
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researchers and PhDs on optical low-adhesion coatings. Within the team, you will be given the opportunity to expand your research skills and experience and to grow in your career as a mentee and a mentor, and
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models related to modern data management challenges (e.g., query feasibility, data correlations, probabilistic evaluation, scalability). Prototype and evaluate data system components or extensions
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A postdoc position is immediately available at the Advanced Photon Source of Argonne National Laboratory. This position will involve developing X-ray coherent scattering imaging techniques
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requirements described will be excluded. Preferential factors: Experience in image analysis and processing using AI algorithms; English language proficiency; Portuguese language fluency. APPLICATION
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neurodegenerative processes. Investigate neuronal activity and neural stem cell fate in both acute and persistent infection Construct a hamster brain atlas under infection with temporal, spa.al and single cell
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About Us We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
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of precision imaging datasets using supercomputing cluster resources. Support students and trainees involved in data processing and analysis. Present novel discoveries at international conferences. Publish
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). ● Prototype and evaluate data system components or extensions to existing open-source engines. ● Publish in top-tier conferences (SIGMOD, VLDB, PODS, ICDE, ICDT, etc.) and participate in the wider research
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 1 month ago
contribution to our focus project of realizing online-adaptive proton therapy, enabled by an AI driven, fully automatized feedback loop of imaging, PGI-based treatment verification and fast adaptation. Therefore