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Field
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: design/engineering of constructs and viral vectors for cellular targeting. Immunohistology: tissue processing and histological preparations for cellular/molecular analysis. Data analysis: proficiency in
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(GenIR), a new and rapidly evolving retrieval paradigm where generative models are used to directly generate document identifiers given a user query. This paradigm departs from traditional multi-stage
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Computer Engineering (CE) section of the Quantum & Computer Engineering (QCE) department is looking for a highly motivated PostDoc candidate who wants to work on efficient and reliable digital CIM-based AI
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High Performance Computing. Expertise in image and spatiotemporal data processing. A strong publication record in peer-reviewed journals and conferences. Excellent written and oral communication skills
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generate document identifiers given a user query. This paradigm departs from traditional multi-stage retrieval pipelines and instead integrates the indexing and retrieval process into a single, end-to-end
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Postdoctoral Associate Required Qualification: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Biomedical Engineering or a closely related field in hand by January 1
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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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materials-based heterostructures , where the 2D nanosheets will act as transducers for electrical sensing applications. This will generate a knowledge-based platform to allow us to rationally engineer 2D
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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technology with a focus on thermal process chemistry, chemical engineering, or an equivalent area relevant to the project. Documented laboratory experience with high-temperature experiments and materials