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technical expertise in machine learning, artificial intelligence, and data modeling approaches. We are committed to investigating the mechanisms of brain aging and developing innovative interventions to
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, machine learning, computer science, statistics, engineering, medicine, or a related field. Strong candidates may have experience with large-scale human datasets, machine learning, statistical genetics
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analysis in the Wasserstein space of stochastic processes (contact Johannes Wiesel [email protected] ) Causal modelling and related questions in reliable machine learning (contact Sebastian Weichwald
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engineering, statistics, applied mathematics, or a related field. Strong track record in machine learning/deep learning with imaging data; publications in medical imaging or health data science are highly
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with expertise in genomics, multi-omics, machine learning, and cell-models and iPSC in neurodegeneration. The successful candidate will also become integrated into the university’s neuroscience and
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The University of Texas Southwestern Medical Center (UT Southwestern Medical Center) | Dallas, Texas | United States | 23 days ago
investigate and manipulate the immune system for therapeutic gain. Specific areas of interest include, but are not limited to: Machine learning applied to immunological challenges , such as modeling immune
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optimization and quantum machine learning Quantum programming languages, compilers, architectures, and verification These positions are located on the campus of IUB in Bloomington, Indiana, and successful
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and journal papers for top-tier AI/NLP and machine learning venues; prepare manuscripts for peer-reviewed publication; create clear technical presentations and present findings at national and