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, integrating novel genetically related traits using digital tools or functional genomic information or OMICS to improve genomic prediction models. The successful candidates will have the opportunity
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in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note
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FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria Academic: PhD in applied mathematics, computer science, or medical physics. Scientific interests: applied mathematics
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methods, signal processing techniques, and data analysis pipelines for novel X-ray imaging modalities, including ghost imaging, quantum-enhanced imaging, and other correlation-based methods. As part of a
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relies on the precise control of quantum information in complex systems, yet the fundamental processes that govern how information spreads, scrambles, or becomes inaccessible remain poorly understood. In
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(MIGS) device ¿ the LIVTM - that biologically restores diseased trabecular meshwork function rather than simply bypassing it. Based on the main University of Liverpool campus, you will conduct laboratory
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candidate with expertise in the following four areas: (1) working with large-scale digital trace data; (2) building and running natural language processing and machine learning workflows; (3) experimental
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acquisition, signal processing, and data analysis Proficiency in programming Experience in child development research, especially related to auditory processing, language acquisition, or related domains Strong
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statement of research interests, and contact information for three referees. For questions please email: Dan Zhu, PhD, Research Assistant Professor of Radiology, Assistant Director of MRI Protocols for DISC
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application, you acknowledge that FU Berlin saves and processes your data. FU Berlin cannot guarantee the security of your personal data if you send your application over an unencrypted connection