86 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Sweden
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project to study genetic regulatory variation and its link to molecular, cellular and organismal phenotypes using a systems genetics approach. The project is fully computational, and potential approaches
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. Special reasons include absence due to illness, parental leave, appointments of trust in trade union organisations, military service, or similar circumstances, as well as clinical practice or other forms
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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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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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fisheries and environmental management. We value not only academic excellence, but also personal qualities and abilities to cooperate in a team as well as work and develop independently. You hold a PhD in
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service, or similar circumstances, as well as clinical practice or other forms of appointment/assignment relevant to the subject area. The successful candidate should have a PhD in terrestrial ecology
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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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through publications in high-impact journals and presentations at international conferences. Qualifications A PhD in Physics, Chemistry, Mechanical Engineering, Energy Sciences, or a related field, obtained
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. PhD in a relevant field (e.g., logistics, supply chain management, operations management, engineering, or related disciplines). Experience with case study methodology and the ability to translate
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participating in projects that collect and utilize agronomic data from forages and crop rotations, and (3) writing scientific publications and grant applications. Qualifications: Required: A PhD degree in a