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knowledge-grounded reasoning with flexible machine learning Tools that reduce manual burden while preserving traceability and clinical interpretability This position offers the opportunity to publish novel
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applications for a post-doctoral research position under the supervision of Dr. Chris Smith Home | Chris Smith . The lab— in the Evolution, Ecology, and Behavior section—investigates machine learning approaches
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cardiac development, developmental programming, metabolic models, or next-generation sequencing is preferred, and candidates from adjacent fields with a clear interest in learning embryology are encouraged
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. This individual will be responsible for all aspects of their project, from project design in collaboration with Prof. Giedroc, to execution of experiments, and analysis of all data acquired. The successful
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-scale genomic, single-cell, multi-omics, and biobank datasets. Design research studies, analyze and interpret data, and prepare manuscripts for publication. Present research at national and international
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directions, writing manuscripts, presenting scientific findings, preparing grant and fellowship applications, mentoring junior trainees, and building a long-term career plan. The position is well-suited
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presentations and published works. CRRES fellowships are designed to advance the careers of new scholars by providing opportunities to research, teach, and connect with mentors and with faculty in host
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monitoring in rodents, and neurobehavioral testing panels. The postdoctoral fellow is expected to independently plan and conduct experiments under the guidance of the PI, using molecular and cellular biology
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include: Lead original research in multimodal and causal AI for health; design, implement, and rigorously evaluate algorithms and full pipelines. Build reproducible research pipelines and maintain reliable
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published works. CRRES fellowships are designed to advance the careers of new scholars by providing opportunities to research, teach, and connect with mentors and with faculty in host departments. Strong