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EVALUATION CRITERIA The selection will be based on the following criteria: Academic record – 40% Past Experience in algorithm optimization - 30% Past Experience in research and industrial projects – 30% Each
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through voice signals; 3. People recognition combining image and voice; 4. Implementation and testing of algorithms and development of a prototype based on the GrowMu social robot and ROS 2 middleware V
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the Norwegian healthcare sector for emerging treatment alternatives. A central part of the project is to develop and validate multimodal prediction algorithms for Alzheimer’s disease using genetics, neuroimaging
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learning methods and architectures. Design, implement, and evaluate novel machine learning models, frameworks, and algorithms. Collaborate with a cross-university multidisciplinary team to integrate and
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correlation energy using non-local features of electronic density and orbitals. Qualifications: Experience with developing efficient numerical algorithms and modifying electronic structure DFT or quantum
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
multi-omic data, including microbiome data, would be an advantage. Ability to build algorithms and data pipelines would be ideal. Required Qualifications, Competencies, and Experience PhD in
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algorithm to discovery three-dimensional chromatin structures. Participate in discovery projects related to breast cancer and prostate cancer. Genomic data mining and analysis. Prepare scientific reports
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understanding of computational algorithms and statistical modeling and a working knowledge in molecular biology, microbiology, and microbial ecology • possess a working knowledge on genomic sciences and