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- UNIVERSIDAD POLITECNICA DE MADRID
- Computer Vision Center
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- Centro de Investigaciones sobre Desertificación (CIDE, CSIC-UV-GVA)
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, including scRNA-seq, spatial transcriptomics, methylation profiling and integration of molecular data. Experience in translational biomarkers, target-engagement studies (PD), analysis of human biological
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Network ReDiLEEP (https://redileep.eu/ ). ReDiLEEP brings together leading universities, research institutes, and non-academic partners across Europe and beyond to advance response diversity research and
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knowledge of natural resource management, natural hazards, and spatial planning. - Knowledge of spatial analysis, GIS, and cartography, applied to risk and vulnerability assessment and decision-making support
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Website https://seuelectronica.urv.cat/treballar-a-la-urv/pi26031english.htm Requirements Research FieldChemistryEducation LevelPhD or equivalent Skills/Qualifications PhD in Chemistry, Nanoscience
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Dynamic Reconstruction of Complex Sound Fields (SONIFY)”.This project provides a unique opportunity to conduct cutting-edge research in acoustics, sound field analysis, spatial audio and room acoustics. We
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certain type of treatment, with potential impact in clinical practice and cancer research. This position is linked to the project BIOEURECA:Next-gen biomarker discovery: foundation models for tissue spatial
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team focused on investigating pancreas regeneration and pancreatic cancer. The candidate will be involved in the analysis of several bioinformatic data generated in the lab, such as RNA-seq, single cell
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potential impact in clinical practice and cancer research. This position is linked to the project BIOEURECA:Next-gen biomarker discovery: foundation models for tissue spatial interconnections search, funded
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or equivalent Skills/Qualifications Technical Skills: Hydrological analysis and modeling. Spatial analysis using GIS. GIS software (QGIS, ArcGIS). Hydrological modeling software. Processing and analysis
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, computer science, physics, or another quantitative field. Excellent coding skills, good knowledge of Python is required, knowledge of Stata and prior experience with Spatial Data Analysis is strongly valued