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Field
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. Proficiency in using PyTorch and other machine learning libraries for developing and implementing machine learning models is essential. Ability to prepare comprehensive written reports, including the use
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focus on the conceptualisation and prototyping of spatial data infrastructures and registries for space environments and objects. The role involves research into spatial data models for representing
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H100s). Ideal candidates will have a strong interest and proven experience in designing, understanding, or engineering large AI models or their applications. Current PLI projects involve work with
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of persistent virus. 3. Single cell analysis of in vivo viral reservoirs and in vitro models of latency. 4. The innate immune response to HIV and mechanisms of immune evasion. The successful candidate will join a
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from woody plants. Additional optional skills and qualifications: Experience in the regulation of host-pathogen interactions in the grapevine model. Contracting requirements: Presentation of the academic
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and brain impacting diseases. MNI?s cross-disciplinary research portfolio reflects the full range of basic and translational projects from molecular analyses to animal models to human applications. More
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. Applicant Resources https://www.uidaho.edu/human-resources/careers/applicant-resources Background Check Statement Applicants who are selected as final possible candidates must be able to pass a criminal
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training leading to the successful completion of a PhD degree. For more information see: http://www.mn.uio.no/english/research/phd/ All candidates and projects will have to undergo a check versus national
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behavioral techniques Biyu Jade He - awareness and conscious/unconscious processing using EEG, MEG and MRI David Heeger = computational models of visual processing Roozbeh Kiani - visually based decision
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with childhood-onset disability across the lifespan by promoting participation in physical activity and exercise. The role involves developing and testing physical activity models, investigating barriers