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of bacterial genomes and comparative genomics across different strains. * Bioinformatic analysis of genomic data and identification of genetic variants associated with the observed phenotypes. * Integration
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InLife Institute of Animal Reproduction and Food Research, Polish Academy of Sciences | Poland | 10 days ago
, and identification of c-sncRNAs associated with egg and sperm quality. Position description: The successful candidate will participate in molecular research, data analysis, and interpretation of results
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 hours ago
observational data of non-CO2 greenhouse and ozone-depleting gases (e.g., N2 O, CFCs, HFCs), and to extract diagnostic insights from instrument performance indicators, using machine learning methods. Additional
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will lead and participate in observations and data analysis across the electromagnetic spectrum, or will lead work on machine learning classification of optical transients. Applicants with previous
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analysis, machine learning, mathematics of data scienceMathematical modeling and manifold learning of high-dimensional data geometry, with theoretical foundations and applications in evolutionary biology and
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Cancer Research UK strategic programme investigating how colorectal cancer responds to therapy through the integration of spatial biology, computational analysis and clinical research. Working across
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improve high-throughput experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts and
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experience with scientific computing, data processing, and reproducible research workflows. · Experience designing, implementing, and evaluating computational methods or data analysis pipelines. · Excellent
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to improve cryogenic calorimeter performance and optimize data analysis. Perform data analysis, support operations, and maintain electronics for the CUORE and CUPID R&D experiments. Support the development
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modeling and analysis. Ability to select, implement, diagnose, and adapt parameter-estimation or statistical-inference methods to suit the model, data structure, and scientific question. Experience with