23 programming-language-"HT---Human-Technopole" Postdoctoral positions at Swedish University of Agricultural Sciences
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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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and mutualistic interactions. All interested candidates irrespective of age, nationality, gender, disability, religion or ethnic background are encouraged to apply. The team’s common language is English
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collaborative atmosphere. Excellent knowledge of English is a requirement (at least C1 level in reading, writing, and listening). If you apply from outside Europe and are not a native English speaker, a
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team of TreePPL (www.treeppl.org ), a universal probabilistic programming language and new software for phylogenetics. The successful candidate will be responsible for the user-interface aspects
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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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, Mathematica, Fortran, or other programming languages for data analysis and model implementation) are required. The candidate is expected to be capable and willing to independently initiate, conduct, and
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to work well both independently and in a team and have the ability to independently plan and conduct research Proficiency in spoken and written English Documented experience in publishing in international
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of the ProWater Project (The use of industrial by-products as secondary resources in wastewater treatment) funded by the EU Interreg Aurora programme with project partners from Northern Sweden and
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independently initiate, conduct, and complete research projects and to generate and publish the findings in international peer-reviewed journals. Written and oral communication skills in English at an academic
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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