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prototypes, conducting laboratory and field evaluations, and analyzing experimental data. The role also involves preparing technical documentation and contributing to scientific publications. Organizational
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experimental data. The role also involves preparing technical documentation and contributing to scientific publications. Organizational Status This position reports directly to Dr. Taghipour. This position will
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. The successful PhD candidate will collaborate closely as part of an interdisciplinary team consisting of formulation scientists, microbiologists and computer scientists. As a PhD candidate at OsloMet, you will
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weather events and improve household resilience. Key responsibilities include: Data cleaning, management, and econometric analysis Supporting fieldwork design and survey development Preparing research
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momentary assessment) and the combination of self-report and sensor-measured data. There will also be the opportunity to contribute to longitudinal survey studies and analyze existing datasets. The person is
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Applications are invited for a position in the rapidly expanding data analytics run by Prof Adam Dubis. The main focus of the team is to develop deep learning tools for prediction of disease progression
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diagnostic sector, and the Point-of-Care diagnostic supply chain. The recruited candidate will be responsible for generating a database of qualitative data acquired through focus groups and interviews with
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cancer. This role requires conducting a variety of laboratory experiments, analyzing data, and contributing to scientific research efforts, particularly in the areas of dermatology and skin disorders.
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when the status quo concerning relations of dominance is openly questioned? To answer these questions, the project will rely on both cross-sectional survey data, population-based experiments, and small
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be expected to teach advanced courses in Artificial Intelligence—particularly in machine learning, statistical learning, natural language processing (NLP), symbolic AI, computer vision, and related