143 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Sweden
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on the development of new perennial cereal grains within an extensive domestication and plant breeding program. Your research work will focus on questions of genetic and phenotypic diversity and to develop genomic
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universities in Sweden. The vision is a sustainable future through materials science. Read more at WISE Duties As a post-doctoral researcher, you are expected to perform both experimental and theoretical work
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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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at the nanoscale --non-invasively and with high precision. Who we are looking for We seek candidates with the following qualifications: We are seeking a talented and driven individual with a PhD in physics, optics
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are looking for We seek candidates with the following qualifications: Applicants should have a PhD in astrophysics by the start of the appointment, demonstrated experience with MHD simulations in relation
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impact on food security and promote a more sustainable blue bioeconomy. We seek candidates with the following qualifications: To qualify as a Postdoc, the applicant must hold a PhD degree, awarded no
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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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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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passive and active flow control algorithms, potentially incorporating machine learning/AI, to enhance aerodynamic performance and stall delay with rapid response times. The research is conducted in
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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