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Field
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developing/adapting computational models or algorithms to analyse biological data, and experience with single cell or spatial omics datasets or knowledge of cancer biology would be an advantage. What we offer
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decrease by two orders of magnitude, so that testing of control algorithms in a wind tunnel environment requires algorithms that are a significantly faster than they need to be in the field. Instead, wind
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Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0247.pdf CALL FOR GRANT APPLICATIONS (AE2026-0247) INESC TEC is now accepting grant applications to award 1 Research Grant (BI) within
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. Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Generate and test hypotheses and
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information: https://tablon.upct.es/anuncio/ 5 wO oavpjYp Deadline for submission of applications: July 28. TITLE OF THE POSITION OFFERED: INDUSTRIAL ENGINEERING Research TYPE OF CONTRACT: Indefinite
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multimodal algorithm of epigenetic blood predictors of the clinical benefit of SBRT in immunotherapy-resistant tumors Research Line: IBIMA-BE-17 CLINICAL, MOLECULAR, AND TECHNOLOGICAL RESEARCH IN RADIATION
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Computational Postdoctoral Fellow (Quantitative Modeling Group) - 106785 Division: BE-Biological Systems & Engineering Berkeley Lab’s (LBNL, https://www.lbl.gov/) Biological Systems and Engineering
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in data science methods-including large-scale behavioral datasets, algorithmic auditing, machine learning, and reproducible data pipelines-alongside traditional research methods like surveys and
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processing algorithms Development and implementation of novel pulse sequences Acquisition of high quality NMR data Interaction with other research groups, learning new techniques where necessary Close
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under the following conditions: OBJECTIVES | FUNCTIONS Analyze mass spectrometry data for microbial identification. Assist in the curation of spectra and the development of identification algorithms