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Field
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datasets Working with bulk and single-cell RNA-seq, ATAC-seq, ChIP-seq, methylome and proteomic data. Developing computational approaches and algorithms to answer complex biological questions. Identifying
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software development and scientific computing algorithms as well as the ability to learn quickly. Candidates will be evaluated solely on their ability to demonstrate the skills, knowledge, and experience
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, high-performance scientific computing, tensor methods, and scalable algorithms. Optimization: continuous and discrete optimization, computational optimization, inverse problems, and optimization methods
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will work closely with interdisciplinary researchers and engineers to develop novel AI algorithms, publish in top-tier venues, and translate research innovations into real-world sustainability solutions
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implementation novel machine learning and large language model (LLM) algorithms for Green AI applications. Support the research of efficient AI techniques, including model optimization, parameter-efficient fine
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learning and AI-driven research projects. Collaborate with researchers to translate scientific requirements into technical solutions. Optimize algorithms and workflows for performance, scalability, and
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. Numerical analysis and scientific computing: numerical methods, computational linear algebra, high-performance scientific computing, tensor methods, and scalable algorithms. Optimization: continuous and
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dementia identification algorithms. This position is ideal for candidates with strong quantitative skills who are interested in aging, Alzheimer's disease and related dementias (ADRD), social determinants
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perception, mapping, obstacle avoidance, and multi-agent path-planning algorithms, and integrate these capabilities on physical drone platforms. The work will involve system integration, simulation, hardware
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Our research group focuses on the development of AI algorithms for industrial applications. The main scope of our activities is the optimization and automation of workflows and production systems