Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
; and spatialization tools. “Technical Networks and the Digitalization of Territory in Favelas” Project – Knowledge of Network and Flow Analysis, Territorial Planning, Human and Economic Geography
-
of data from geoparks in Brazil, Chile, and Mexico; the consolidation of an international database; fieldwork execution; and the analysis of spatial, documentary, and institutional risk management data
-
their characterization because of the high spatial resolution. Recently, the development of the so-called four-dimensional scanning-TEM (4D-STEM) has raised interest in electron diffraction (ED). We aim to explore
-
, supported by Large Language Models (LLMs). Mandatory requirements: The candidate must hold a Ph.D. in Computer Science or a closely related field. Desirable requirements: Experience in Information Retrieval
-
email ([email protected] ), an updated Curricular Summary in the FAPESP model , a motivation letter explaining their suitability and alignment with the project “Forensic discrimination of Brazilian
-
mouse models, cell culture, molecular biology, processing of biological samples for omics analyses, and assessment of in vivo lipogenesis using radioisotopes. Mandatory requirements: Degree in Biological
-
to industry and developments with Deep Learning (DL), Computer Vision (CV), Transformers, Large Language Models (LLMs), Natural Language Processing (NLP). Mandatory requirements • Bachelor's degree
-
; • 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
-
modeling) to design consensus COBRA antigens against avian vírus H5N1; - The post-doctoral researcher will construct hypervesiculating bacterial strains using Lambda-Red recombinase and optimize OMV
-
evaluation in cell models. Positions: 1 Duration: 12 months, with the possibility of renewal up to a maximum of 48 months, subject to FAPESP Postdoctoral Fellowship regulations and satisfactory performance