181 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" PhD positions in Sweden
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the project’s research area Training in higher education teaching and learning Experience teaching Swedish and European economic history Documented administrative ability Assessment criteria The School
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The doctoral student will be employed at Mid Sweden University as part of the Swedish research school for excellence in Arctic and Antarctic Learning (SEAL) , which offers an internationally competitive
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learning (vocational competence, workplace learning, assessment) Doctoral candidates have the freedom to design a dissertation project related to these themes. Mandatory courses and participation in regular
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universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the
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learn experimental and computational approaches to tackle fundamental biological questions with medical relevance using innovative system-wide techniques. You will work on an exciting multidisciplinary
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interdisciplinary environments and to apply diverse methodological approaches are essential. We do not expect the candidate to be proficient in all of these areas; however, they should be eager to learn the required
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equitable teaching. The graduate school specialises in practice-based mathematics teacher education. This includes examining how teachers’ work is made into a learning objective in teacher education, and how
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demonstrate the ability and eagerness to learn new methods and a strong interest in developing both experimental and analytical skills. On a personal level, we are looking for a collaborative and engaged
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, respectful, and stimulating environment. We value communication and collaboration and a workplace that promotes learning and development for all employees. We are also committed to building a safe and positive
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perturbation-based GRN inference for single-cell and spatial multi-omics data, to boost GRN quality and add the cell type and tissue heterogeneity dimensions to causal regulatory analysis. A deep learning