156 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Sweden
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limit can be made for longer periods resulting from parental leave, sick leave or military service. The following experience will strengthen your application: Experience with synchrotron-based
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candidate low-dimensional magnetoelectrics; (b) evaluation of their magnetoelectric properties using density functional theory (DFT) and related computational methods; and (c) advancing theories of novel
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capabilities at the beamline, is also considered as a merit. Qualifications A PhD in physics, solid state chemistry, or similar, obtained within no longer than 3 years from the application submission date
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, computer simulations and various statistical approaches to increase understanding of the ecological and evolutionary processes that underlie speciation and ecological diversification in the context
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education teaching and learning. Qualification requirements Appointment to a post-doctoral position requires that the applicant has a PhD, or an international degree deemed equivalent to a PhD, within the
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/councils, EU framework program or industry. Qualifications To be eligible for this postdoctoral position, you must hold a PhD in Structural Engineering, Civil Engineering, or a closely related field, with a
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evidenced by recent publications in e.g. Nature Biotechnology – and also provides a stimulating environment for learning computational biology. The successful applicant will in furthermore receive training
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of TWPAs, while the other will specialize in their characterization. About the research project The Wallenberg Center for Quantum Technology is a 12-year project aimed at building a quantum computer based on
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, collect and analyze relevant data. Qualifications For this position, applicants must have a PhD in sociology or another discipline that is deemed relevant in relation to the research being conducted within
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-ever investment in materials science in Sweden and will encompass major efforts at Sweden’s foremost universities over the course of 10 years. The vision is a sustainable future through materials science