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Pharmacology (KKF). The overall aim of the project is to develop improved diagnostic and predictive tools for hematology and clinical immunology. The project is a collaboration with Sofia Nyström ’s group
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degree are met before the (intended) date of employment. This must be substantiated by the applicant's main supervisor, director or equivalent. The successful applicant is expected to have: PhD in medical
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empirical and computational models to understand social learning. You will have the opportunity to develop your own research ideas under supervision. Your responsibilities include designing and conducting
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, their development, and how disruptions in homeostasis contribute to pathological conditions. The position involves close collaboration with PhD students, postdoctoral researchers, and international partners. Active
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, during neuron differentiation and stress response. By applying a model from epidemic spreading, you will develop a new mathematical model of actual molecular mRNA-protein mechanisms. By combining
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, mathematical statistics, or operations research. The PhD degree should normally have been awarded no more than three years prior to the application deadline (according to the current agreement with the Swedish
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taken into consideration. A suitable candidate will have a PhD in sociology, computer science, economics, statistics, political science or a corresponding subject of relevance to computational social
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two-year scholarship. Duties: Expected tasks include (1) data curation and statistical analyses of already acquired agronomic data from forage cultivars, species, and crop rotations (2) managing and
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may be taken into consideration. A suitable candidate will have a PhD in computer science, statistics, sociology, economics, political science or a corresponding subject of relevance to computational
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We are seeking a highly motivated and skilled Postdoctoral researcher with interdisciplinary expertise to develop risk assessment and mitigation models using Large Language Models (LLMs