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position within a Research Infrastructure? No Offer Description Activities and context: The fellow will develop machine-learning interatomic potentials (MLPs), trained on density functional theory-DFT data
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chromatography. The candidate will prepare samples for immunopeptidomics by liquid chromatography coupled with mass spectrometry tandem (LC-MS/MS), analyze large datasets, and develop scripts and machine learning
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; • Familiarity with statistical analyses and modeling as well as machine learning approaches, supported with strong skills in computational optimization of methods; • Experience working with large-scale datasets
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to staff position within a Research Infrastructure? No Offer Description Activities: The post-doctoral researcher will develop machine learning models to evaluate the effectiveness and cost
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position within a Research Infrastructure? No Offer Description Activities: Post-Doctoral position #1 – HTT Pilot Plant Operation and Technology Scale-up: Lead the operation, optimization, and technology
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Experience in plant breeding for resistance to biotic and/or abiotic stresses, programming, machine learning, and genomic data analysis. Desirable requirements 1. Cost-effectiveness assessment: rapid
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11 Aug 2026 Job Information Organisation/Company School of Agriculture (FCA) – UNESP Research Field Agricultural sciences Biological sciences Technology Engineering Researcher Profile First Stage
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25 Aug 2026 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Engineering Researcher Profile Established Researcher (R3) Application Deadline 8 Sep 2026 - 23
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for analytical processing, such as data lakes, data warehouses, and lakehouses. Desirable requirements - Experience in developing and implementing data platforms; - Knowledge of data engineering tools and
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cities and databases. Mandatory requirements: PhD in engineering, data science and computing, mathematics, or statistics; experience in engineering, data science and computing, mathematics, or statistics