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, and tracking), the creation of explainable AI methods to interrogate scientific datasets, and the design and implementation of mechanistic models of biological processes that work together
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, Materials Science, Energy Science, Energy Engineering, Optics, Computer Engineering, Integrated Circuits, Information Engineering, Robotics, Network Science, Artificial Intelligence, Financial Engineering
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, Bioinformatics, Physics, or a related field. A strong background in image processing and image data analysis. English proficiency Preferred PhD in Biology, Bioengineering, Computer Science, Bioinformatics, or a
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The ideal candidates are expected to perform research and teaching in the following areas: Electrical and Computer Engineering: Robotics and Embodied AI, Networks and Communication System, Devices
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post-natal cIN development Comfort working with mouse models and brain tissue (e.g., dissection, viral delivery, histology) Mouse surgery experience, especially surgeries involving embryonic mice, mouse
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and the upgrading of traditional vaccines, breakthrough the key technical bottlenecks in basic research, process development and production of vaccines, continuously optimize the industrial structure
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. Application Procedure The application package should include a cover letter, a complete CV, research proposals, teaching philosophy, and contact details for three independent referees. The recommendation
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period. Candidates who passed the document screening will be invited to have an interview either on-line or off-line for further evaluation. During the interview process, we will determine the amount of
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pipelines, particularly those aimed at large data processing, deep-learning training and model fine-tuning. In addition to state of the art deep-learning, you will be employing modern technologies such as
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) applied to biomedical data. Preferred Familiarity with CRISPR-Cas9 or CRISPRi/a screening data, RNA-seq, single-cell or spatial transcriptomics data processing Competence in acquiring, handling, and