254 cloud-computing "https:" "https:" "https:" "St" "St" "St" Postdoctoral research jobs in Denmark
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understanding of single-cell biology, recent technologies and data science. Experience with cloud computing platforms will be an advantage Experience with wet-lab protocols RNA-seq and scRNAseq is preferred but
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description You will be working primarily with collaboration parters of remote handling and maintenance under the EUROfusion program The position will focus on aspects of dynamics and control of robotic
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the Human-Centered Computing section,which focuses on designing, developing, and applying interactive computing technologies. More information can be found on our website: https://www.cs.aau.dk/research/hcc
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field soil and will be conducted as part of the N2CROP project [https://mbg.au.dk/n2crop ]. Your profile We are looking for a highly motivated candidate with a keen interest in legume-rhizobium
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-motivated, pro-active, team- and goal-oriented personality Excellent communication skills, including fluency in spoken and written English Preferred Qualifications: Skills in computational protein structure
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designs. Visit his group webpage (http://mbg.au.dk/yuya-hayashi/ ) for further information. Yuya also organises a cross-departmental network of extracellular vesicle researchers at Aarhus University, EVAnet
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QGG Aarhus University seeks two Postdoctoral researchers in Quantitative Genetics of sustainable ...
interdisciplinary center for research and education in quantitative genetics and quantitative genomics (http://www.qgg.au.dk/en). QGG is an international organization with 70 employees and visiting researchers from
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integrates CRISPR-based genome engineering, quantitative and live-cell microscopy, biochemistry, and computational analysis to dissect how cells sense and respond to replication-associated threats. Recent work
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The project will involve both experimental and computational work and the candidate is expected to be comfortable with both. The candidate is expected to have (or be close to finishing) a Ph.D. in molecular
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Andres Masegosa (arma@cs.aau.dk), Department of Computer Science. (please see: https://andresmasegosa.github.io/ . The project’s domain PI is Professor Jamal Jokar Arsanjani (jja@plan.aau.dk), Department