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-year period, covering their own salary and other resources, such as salaries for PhD students and postdoc positions. The Fellowships are tenure-track positions with the host organizations, which assume
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spectrum of virtual reality, mixed reality and augmented reality, as well as other innovative media forms. The division is responsible for the visual media track of an international master’s program in
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initiative and capacity building program objectives. The successful candidate will carry out collaborative and interdisciplinary research that involves desk-based and empirical mixed methods as
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objectives Multiscale modelling to better understand RFB behavior and identify optimal hierarchical shaped pore- and electrode-structure to encounter optimum electrolyte as well as electrical flow. Prototyping
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positions. The Fellowships are tenure-track positions with the host organizations, which assume the responsibility for the long-term faculty appointments following a tenure evaluation. The future of life
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University and Karolinska Institute. The overall objective is to develop and make use of machine learning methods to help us understand the organization of life. Wallenberg AI, Autonomous Systems and Software
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to manipulate microscale objects, cells and nanoparticles. Based on acoustofluidic principles we develop medical applications such as isolation of circulating tumorcells from cancer patient derived blood samples
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innovation, ensure alignment with project objectives, and contribute to dissemination and knowledge exchange. The postdoc position primarily involves research in some of the most current and interdisciplinary
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that: The preferential right to re-employment applies for nine months after your last day of employment. The constitutional requirement of objective grounds (merit and competence) for governmental employment contracts
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, computer science or similar. A successful candidate should have deep and broad knowledge and experience in machine learning and related areas with a proven academic track record. Publications in leading AI/ML