15 computational-mechanics-phd Postdoctoral positions at Swedish University of Agricultural Sciences
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of an excellent team of several PhD students, PostDocs, and Researchers working on different projects related to biotechnological methods for producing recombinant silk proteins, characterization of these, spinning
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leading to production and harvesting in the regulated countries moving to unregulated countries. The position is part of a joint research program between Swedish University of Agricultural Sciences (SLU
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ecology. Your profile The successful candidate shall have a PhD degree in environmental sciences or a related field with a good understanding of soil and aquatic ecosystems, biogeochemical cycling
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infection with malaria. In addition, the interaction between humans and disease vectors will be investigated to elucidate the mechanisms by which vectors identify and discriminate between healthy and infected
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interactions in systems of microbial induced plant resistance. The postdoc will be part of a collaborative research project entitled ‘Mechanisms and consequences of microbial induced resistance on trophic
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methods further, we are looking for a postdoc with a keen interest in biotechnology and protein biochemistry. About the position You will be part of an excellent team of several PhD students, PostDocs, and
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coast and in offshore areas. The position will also include further development of ongoing data analyses within the national data collection program (DCF), which plays a key role in improving our
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. Programming skills in R is a requirement, and programming skills in dynamic modelling in other languages is a merit. Fluency in spoken and written English is a requirement. Qualifications: PhD degree in ecology
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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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from the European Research Council and a DDLS Fellowship from the SciLifeLab and Wallenberg Swedish program for data-driven life science. The successful candidate will be working within the development