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characterization techniques (spectrum analysis, power measurements, linewidth analysis) Knowledge of semiconductor laser physics (thermal effects, carrier dynamics) Experience with mask layout design Knowledge
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. Design, test, and document computational frameworks that combine 4D point cloud data, geospatial analysis, and advanced ML/DL algorithms. Integrate dynamic environmental datasets into immersive and
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candidates for this position should have a background in game studies and being particularly knowledgeable of the humanities and critical social sciences theoretical and methodological traditions. Moreover
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different regions abroad, with studies on climate, land, energy, and water analysis, modelling, and management. Your responsibilities We are looking for a talented and experienced postdoctoral researcher with
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terrestrial gravimetry (measurements, processing, modelling) is an advantage - Understanding of geodetic data analysis and geophysical processes is an asset - Basis understanding of quantum physics is a plus
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mental health and computational social science, using large-scale social media analysis, smartphone-based sensing, and agent-based modeling. Combining macro-level patterns with micro-level behavioral data
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computing in large-scale omics data analysis. Your work will focus on method development and their application to biomedical research questions. Key responsibilities include: analyzing and modeling large
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scanning probe microscopes perform data analysis and interpretation. work with others to maintain a high level of scientific productivity. present research and publish scientific results in peer-reviewed
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growth as a researcher Opportunity to develop state-of-the-art data analysis solutions that can have real impact on the fields of data analytics in general and space research in particular The prospects
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the samples and of the measurement setups, cleanroom fabrication, performing cryogenic microwave measurements, and data analysis. You are expected to participate in advising and mentoring PhD students. Your