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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 8 days ago
Europe Programme. The successful candidate will support research activities related to geographic information systems (GIS), territorial indicators, open science, public policy analysis, statistical data
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for: Analysis of bulk and single cell RNA-sequencing, spatial transcriptomics, and proteomics datasets Integration of experimental model data with public and clinical datasets Statistical modeling and survival
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analysis, and data dissemination. Searching, synthesizing, and interpreting information relevant to public health. Conducting literature reviews to identify evidence-based methodologies for measuring and
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, hence limiting the spatial resolution. Proposed Solution: Spintronic THz emitters, comprising ultrathin ferromagnet/heavy metal (FM/HM) heterostructure, have recently emerged as an efficient solution
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to apply. Applicants with interest in doing post-graduate studies, honing their skills in conducting advanced data analysis and publishing research papers are invited to apply. This position is renewable
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consisting on the sum of the partial classifications assigned in each evaluation criterion, and considering the weighting factor given to each parameter. In this process abstentions are not allowed. In
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Education. Proficiency with mixed-method research approaches, including both quantitative and qualitative methodologies. Responsibilities: Coordinate the research team in data collection, analysis, and the
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PhD degree in ecology, biogeochemistry, Earth/soil science, environmental science, hydrology, computer science, or related field Familiarity with soil carbon/element cycles Prior experience in at least
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, clinical and sensor data processing, quantitative image analysis and machine learning. They will establish and maintain robust research databases and FAIR-compliant data management processes for large, multi
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) as Art Historical Tool Network Analysis and Cultural Data Human–AI Collaboration in Art Historical Interpretation Digital Provenance Research and Collection Histories Computer Vision for Art Historical