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) research studies and contribute to the growth of the Infectious Disease Translational Trials Center. She/He/They will share HIV Program clinical care responsibilities alongside other Division of HIV and
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neuroscience. Applicants can be from any area of molecular, cellular, circuits, systems, cognitive, or computational and theoretical neuroscience. Applicants should have a proven ability to perform outstanding
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. Describe a deep learning project you have executed. Projects in computer vision for microscopy image analysis are especially relevant. Include a link to a code repository if possible. If you contributed to a
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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Joint Univers. Professorship for “Sustainable polymer matrix composites at TU Hamburg” combined with
, property optimization, and aging-driven interfacial degradation. The aim of the research program is to devise materials innovations that support the transition from single-use high-performance PMCs
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institutional policies, regulatory requirements, and the Blood Donor Center Quality Program, while contributing to quality improvement initiatives and translational /basic research activities. Position will work
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. Describe a deep learning project you have executed—ideally a creative use of a vision transformer, U-Net architecture, or Diffusion model that you trained yourself. Projects in computer vision for microscopy
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provides a strong methodological foundation, including advanced in vitro and ex vivo model systems, comprehensive multi-omics technologies, integrative computational biology, and translational research
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Job Description The IT Technician (Level II or I) is responsible for providing hardware and software support for local computing resources. Supports local networking resources and requirements
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/interventions, and clinical diagnoses. The post would be suitable for applicants with general interests in AI, machine learning, large language models, foundation models, signal processing, computational