78 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "U.S" research jobs at Nature Careers in Denmark
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engineering will be preferred Candidates must have experience with international collaborations and serve as a mentor/leader for the research group Who we are The Department of Chemistry is among the most
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communication skills orally and in writing are mandatory. Who we are All post doc fellows will be part of Center for Ice-Free Arctic Research (CIFAR). You can find more about the center here: https://bio.au.dk
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behavioral measures in healthy human participants combined with quantitative modelling. The successful candidate will be required to design, program and conduct EEG-experiments, analyze and interpret EEG and
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. The postdoc will work on a comprehensive translational research program combining advanced human iPSC-derived co-culture models, spatial transcriptomics and proteomics of patient skin biopsies, and mechanistic
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optimizing color selection for attentional purposes. The successful candidate will be required to design, program and conduct EEG-experiments, analyze and interpret EEG and behavioral data and present results
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a master’s degree (if he/she applies for a position as research assistant) or a master’s and Ph.D. degree (if he/she applies for a position as a postdoc) in Bioinformatics, Computational Biology, or
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of personal background. Apply online https://fa-eosd-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/jobs/preview/3538
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, catalysis and/or surface science. For Topic 4, candidates must have documented skills within computational modelling of atomistic processes. Experience in scientific programming, e.g. using Python, is
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to understand RNAs role in the onset of Darwinian evolution. The lab takes inspiration from simple natural replicons for engineering RNA systems that can restart replication [1-2]. The newly funded Circles
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Two postdoctoral positions (3-year) in Experimental Evolution of Methanogenic Microbiomes in Bioe...
project at the interface of directed experimental evolution, microbial ecology, and bioelectrochemical engineering. The project combines laboratory evolution approaches with omics-based analysis