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Field
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, optimization, and characterization integrating imaging, experimental metadata, and diffraction outcomes. Design and deploy computer vision methods to detect and track crystal growth. Develop closed-loop
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trials and deep learning-based modeling of multimodal biomedical data. We are seeking two highly motivated scientists with expertise in Causal Inference / Statistics / Deep Learning / Bioinformatics
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platforms Causal inference, natural experiments, panel-data methods, or quasi-experimental design Survey, online, laboratory, or field experiments involving human participants Network science, game theory
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reproducible research. Relevant expertise may include NLP, large language models, computational social science, social-network analysis, causal inference, survey or behavioral experiments, recommender systems
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datasets, including scRNA-seq, scATAC-seq, scCUT&Tag, HiC, and proteomics, with an emphasis on trajectory inference, regulatory dynamics, and cell fate decisions. A key goal is to integrate multimodal data
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. The position focuses on developing integrated circuits and hardware systems that merge sensing, signal processing, and inference directly at the analog and RF interface. This approach enables orders-of-magnitude
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an emphasis on the dynamics and causality of gene regulatory networks, inferred within and across cells. The position will be based in Sao Paulo, Brazil, under the supervision of Prof. Alexandre Steiner
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computation, or phylogenetic inference, as applicable to microbiomes and human-microbiome interactions, such as outbreak-related strain reconstruction, or phasing and assembly of complex immune-system loci
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into the manifestations, causes, and treatment of schizophrenia. Essential Functions: · Developing novel AI/ML methods to improve the accuracy, reliability, and validity of downstream statistical inference
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large language models (LLMs), natural language processing (NLP), and/or machine learning, with a verifiable track record (e.g., publications, thesis, or open-source contributions). Proficiency in Python