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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 8 days ago
, Regional and Local Planning, or related fields; Experience working with Geographic Information Systems (GIS); Knowledge of databases and data systems; Experience in quantitative and spatial analysis methods
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molecular crystals. Undertake molecular synthesis, crystal growth and advanced characterisation, develop and implement diffraction methods, including at major facilities, and communicate findings through high
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molecular microbiology methods (e.g., nucleic acid extraction, qPCR, dPCR) and quantitative data analysis Fieldwork experience, including environmental sampling Strong written and oral communication skills
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for intelligent devices. Job Responsibilities Develop monitoring methods to detect malicious skill execution and unsafe or misaligned agent behaviour. Design experiments and prototypes to evaluate agent safety
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Methods: Evaluation of the academic record (AR) and Interview (I) VII.I - AR - In the evaluation of the academic record, the candidates' academic performance will be assessed according to the following
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; 2) develop 3D models for the characterization of near-surface geological formations; 3) develop geophysical methods for imaging and characterizing subsurface structures. Key Responsibilities: Develop
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, fabrication materials and orbital environments. Using a small number of representative test cases, we will trial Machine Learning-based predictive methods to estimate material condition and indicative reuse
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to writing bids Operate within area of specialism Public involvement and engagement Qualitative data collection - photo elicitation methods, in-depth interviews, workshops. Analyse and interpret research
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to an interdisciplinary project developing and evaluating targeted screening methods for common cancers among at-risk individuals. The role will involve generating and supporting clinical and population-based research
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an EU-funded MSCA training programme aimed at developing new, data-driven methods to anticipate, detect and respond to emerging viral threats at an earlier stage than before. Coordinated by Prof. Dr