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in high content microscopy and image analysis programs. Familiarity preparing material for single-cell sequencing, comfort working with large data sets. Working knowledge of statistics, proficiency
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. Requirements: PhD completed less than 7 years ago in Computer Science or related areas; experience in machine learning and data science (supervised/unsupervised models, recommendation and evaluation/robustness
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. While the effectiveness of other fields of international law, in particular human rights law, is a well-established academic field, there are few large-n studies of International Refugee Law in practice
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. While the effectiveness of other fields of international law, in particular human rights law, is a well-established academic field, there are few large-n studies of International Refugee Law in practice
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systems, large multimodal foundation model training and/or finetuning, and continuous learning pipelines. Experience in multi-modality data analysis (e.g., image, video, text). Experience working in
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applications of large language models, and causal inference and quasi-experimental methods. Key responsibilities include developing and leading innovative research projects aligned with the mission of IHPS
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Fellow with a PhD in Computational Biology, Bioinformatics, Biostatistics, Data Science, or a related quantitative field to join an interdisciplinary research program focused on Alzheimer’s disease (AD
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for a research environment where scholars can utilize state-of-the-art Large Language Models (LLMs) to interrogate their data with open infrastructure, ensuring that the future of SSH research remains
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at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https
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(Investigating how climate change may increase risk of zoonotic spillover by changing human and wildlife movement, stress, and behavior). This position requires a PhD in ecology, disease ecology, epidemiology