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sequencing data and population genomics tools. Excellent writing ability in English is essential as well as creativity, energy, and the desire to work in an interactive and inter-disciplinary environment
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at Princeton University. This position is not eligible for sponsorship of an H-1B visa requiring consular processing; other visa sponsorships (including H-1B visas not requiring consular processing) may be
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inside and outside the University with excellent oral communication skills. Assists with grant preparation and reporting. Prepares and submits papers on research. Assists in the design of research
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directly by applied researchers and NOAA stakeholders interested in adaptation to natural hazards and extreme weather potentially spanning sub-seasonal to multidecadal timescales. The selected candidates
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-disciplinary domain. Specific research topics to apply to bioacoustics might include: low-footprint machine learning; acoustic signal processing enhanced by ML; human-in-the-loop/active-learning methods
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statistical modeling, including development and validation of predictive models using large-scale data. 3. Proficiency in large language model (LLM) and natural language processing methods for analysis
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the foundations for future data-driven and AI-supported research in natural and engineering sciences. This is what you will do To fulfil the goals of the BridgeMD project, and the responsibilities of a postdoctoral
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collaborate with partners at ELLIS Institute Finland. Target publications at top-level AI, ML, and NLP venues. Who we are looking for Requirements Ph.D. in Machine Learning, Natural Language Processing
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lab work includes the lab's recent Nature Genetics publication on proteome-wide Mendelian randomization and proteome-phenome mapping Primary Responsibilities The Postdoctoral Fellow will be expected
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developing optimization-driven approaches to multimodal device tailoring. We are looking for someone with A PhD in Human-Computer Interaction or a closely related field Strong programming skills (e.g., Python