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training of human resources in Geophysics. Mandatory requirements PhD in Geophysics, Physics, or Engineering, with a background in Seismology and seismic data processing. Experience in scientific
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Instituto Nacional de Investigação Agrária e Veterinária, I.P. | Oeiras, Piaui | Brazil | 25 days ago
characterisation of bacterial strains of veterinary interest, particularly Brucella spp., Ochrobactrum spp., among others. b) Knowledge of bioinformatics and an interest in acquiring and further developing
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position within a Research Infrastructure? No Offer Description Activities and context: Processing and characterization of inorganic amorphous materials, including silicate glasses. Sample preparation
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Retrieval and Natural Language Processing is desirable. How to apply: Interested candidates should send an email to Prof. Daniel Pedronette ( [email protected] ) with the subject line
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biochemistry, molecular biophysics, and protein-DNA interaction assays; knowledge of telomere structure and maintenance, cryo-electron microscopy (including image processing and computational methods for
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, quantitative data processing, and scientific programming. Desirable requirements: Experience in petrography and rock magnetism; familiarity with FORC, IRM, magnetic susceptibility, and thermomagnetic
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Language Models (LLMs), Natural Language Processing (NLP), and Git; relevant scientific publications; and proficiency in English. The position also requires experience in project coordination and
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LiDAR data processing and analysis; publications in scientific journals. How to apply: Applications must be submitted by September 27, 2026, via online form . Required documents: CV in FAPESP format
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identify metabolic signatures of cardiometabolic outcomes. Responsibilities include data processing, quality control, multivariate statistical analyses, and identifying metabolites linked to diabetes and
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. Desirable requirements: Experience with georeferencing and geoprocessing tools applied to urban studies, including the organization, processing, analysis, and spatial representation of data. Strong