38 associate-professor-computer-"https:"-"https:" Postdoctoral positions at Aarhus University in Denmark
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such as multi-level models, target trail emulation, mediation analysis and g-computation Supervision of bachelors’ and masters’ students You will report to Professor Christina C. Dahm. Your competences You
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-biologists. The team consists of a dynamic mix of experimental and computational biologists aiming to examine the factors and complexes governing the production and turnover of eukaryotic transcriptomes. What
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. You will report to the Associate Professor Martin Kristian Thomsen. Your competences You have academic qualifications at PhD level, for example within the following areas of molecular biology or
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staff of 43 full, associate and assistant professors, a support staff of ~40 technical and administrative staff, ~150 PhD-students and ~100 postdocs and around 350 students. In addition to excellence in
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Aarhus University with related departments. Contact information Before applying or for further information, please contact: Associate Professor Aurelien Dantan, +4523987386, dantan@phys.au.dk . Deadline
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computational scientists. The position offers a unique opportunity to work at the interface of landscape ecology, biodiversity science, climate mitigation, and sustainable agriculture, contributing directly to
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friendly atmosphere of large and interacting communities for e.g. structural biology, molecular cell biology, computational biology, neurobiology, and molecular medicine that encourages lively, open, and
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can be obtained from Associate Professor Sheng Wang (e-mail: swan@agro.au.dk ; Phone +45-9350 8301), Associate Professor René Gislum (e-mail: rg@agro.au.dk ; Phone: +45-87158279), and Center Director
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oxysporum and characterize their behavior in a tomato root-soil system with a focus on the effects on the root-associated microbiome. We expect that you will be an important part of the research environment
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” funded by Independent Research Fund Denmark and led by Associate Professor Christoffer Basse Eriksen. The project aims to carry out the first large-scale study of the making of the Flora Danica (1761–1883