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interest in social science applications, and with strong competence in statistics and machine learning. The successful candidate will develop predictive models using machine learning and work alongside other
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on intelligent observing systems using machine learning and data assimilation methods in the ACTIVATE project. For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/289326
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and implement the cellular components of the platform and to interact with the various technology partners to test platform functionalities such as optical and electrical measurements of cell function
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More about working at UiA. The position is remunerated according to the State Salary Scale, salary plan 17.510, code 1352, NOK 600 000 – 650 000 gross salary per year. Higher salary grades may be
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hazards. As a postdoctoral researcher on this research project, you would have the opportunity to shape the project design and theoretical approach through preliminary research at various field sites
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research visits with external collaborators. The position is part of the ERC Starting Grant “Actively learning experimental designs in terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo
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measurements are most informative and guiding where, when and how to observe next. By combining Bayesian inference, probabilistic modeling, and machine learning, the project aims to make Arctic observations more
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: https://www.jobbnorge.no/en/available-jobs/job/289576/postdoctoral-research-fellowship-in-the-computational-analysis-of-gesture-vocalization-interactions Where to apply Website https://www.jobbnorge.no/en
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responsibilities Design, pilot, and implement face-to-face surveys with ex-combatants based on life history interviews, including instrument development (e.g., verbal identity fusion scale), sampling/logistics
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Design, conduct, and analyse life-history interviews with ex-combatants in Colombia, ensuring trauma-informed, ethical practices. Carry out social cartography workshops with former combatants and community