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to investigate gene function during normal mammalian brain development, and how abnormalities in normal brain development lead to the development of brain cancers. Mining, analysis and interpretation of data
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Sign In Create Profile Postdoctoral Research Associate, School of Mining Engineering and Mineral Resources Tucson, AZ, United States | req24974 Apply Now Share Save Job Posted on: 1/28/2026 Back
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models (e.g. tumour progression, tumour-drug sensitivity, survivability) by integrating multiple and heterogeneous data with associative data mining and ensemble learning methods.
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Leibniz-Institute for Plant Genetics and Crop Plant Research | Neu Seeland, Brandenburg | Germany | 2 days ago
16 Apr 2026 Job Information Organisation/Company Leibniz-Institute for Plant Genetics and Crop Plant Research Research Field Biological sciences » Biology Chemistry » Biochemistry Agricultural
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(NLP), Educational Data Mining (EDM), Predictive Analytics, Adaptive Analytics, and Multimodal Learning Analytics. Experience providing formal instruction, preferably at the college level. Experience
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analysts and statisticians to analyze data. We are looking for someone who is ready to learn and willing to advance within the team. Skills / Knowledge / Abilities Prior healthcare and data mining/modeling
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desired. Job Summary Performs research, analysis, and modeling on organizational data and data sets utilizing advanced statistical methods to mine and analyze complex and unstructured data sets. Offers
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experimental data, building agentic pipelines that autonomously analyze omics data, developing systems that mine the scientific literature to ground hypotheses in established knowledge. The position offers a
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processing and statistical machine learning techniques to mine self-reports and sensor data to gain new insights towards assessment and longitudinal monitoring of bipolar disorder; Work on sleep datasets
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 15 hours ago
Admissions This position supports undergraduate recruitment for the academic departments within the Mines and Metallurgy Academy by implementing strategic, data-driven recruitment and communication