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sustainable enterprises in the Global South. We are particularly interested in the scaling and impact pathways of sustainable energy enterprises in emerging and developing economies. Relevant research domains
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responsibility of developing predictive tools based on machine learning for the analysis and interpretation of Raman vibrational spectra applied to battery materials. The successful candidate will design and
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epigenetic datasets. Collaborate in the dissemination of scientific results. Where to apply Website https://t.ly/rjDdY Requirements Research FieldNeurosciencesEducation LevelPhD or equivalent Skills
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staff position within a Research Infrastructure? No Offer Description The project aims to develop and validate advanced Artificial Intelligence models for automated segmentation and prognostic assessment
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embedded into a cutting-edge research project dedicated to the development of advanced AI-based techniques for radiofrequency spectral monitoring across a wide range of highly relevant applications
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. The position will encompass the ethnographic study of wind energy infrastructure development in Norway. The postdoc is part of the Sapere Aude research project Tensions in Arctic Infrastructures (in short
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to developing an HR Strategy for Researchers, designed to bring the practices and procedures in line with the principles of the European Charter for Researchers and the Code of Conduct for the Recruitment
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extremophile photosynthetic organisms integrate physiological, biochemical, and genomic datasets develop evolutionary analyses of Rubisco sequence diversity contribute to the design of experimental approaches
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(ORNL). This position will focus on the development, characterization, and application of engineered nanoparticles for medical isotope systems, including technologies relevant to isotope processing
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by combining psychological profiling, biological lab data, physiological time series, and sensor data. The postdoc will play a leading role in developing and implementing predictive algorithms designed