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master's degree from a university of applied sciences in the fields of social sciences, political science, or sociology Knowledge in the areas of stakeholder analysis, institutional and governance analysis
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, including survival analysis, longitudinal data analysis and meta-analysis. Experience with HIV research, particularly advanced HIV disease and opportunistic infections, strongly preferred. Experience with
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, that combines diffusion and transformer models, there are clear indications that the analysis of this data can be automated. This will open new avenues in data interpretation and building predictive models
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of equipment and procedures. • Analysis of data for relevance and data integrity, performing basic data analysis techniques, and comparing results of scientific investigations to previously published
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electromagnetic device performance analysis>>>Embedded SystemsResearch focuses on:•Robotics, computer vision, and machine learning/deep learning•Wearable and implantable sensors, biosensors, and tele
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analysis Background in biomedicine and digital pathology What we offer Embedding within a computational team, with extensive experience in computational biology and machine learning. Embedding within
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foundational knowledge in quantitative finance. You will have the opportunity to build alphas on an actual trading strategy. What you can expect Modelling. Apply probability theory, statistical analysis, and
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foundational knowledge in quantitative finance. You will have the opportunity to build alphas on an actual trading strategy. What you can expect Modelling. Apply probability theory, statistical analysis, and
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performance. What you can expect Modelling. Apply probability theory, statistical analysis, and machine learning techniques to analyze and interpret market behavior Alpha Monetization. Blend quantitative