18 postdoc-in-postdoc-in-automation-and-control positions at Umeå University in Sweden
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networks are controlled, to develop predictive models of methane cycling in northern rivers. This postdoc position will focus on assessing how stream methane emissions are linked to permafrost thaw, using
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, electrophysiology, chemo-optogenetics. Behavioral measurements will be performed in collaboration with Olof Lagerlöf’s group. The postdoc will image (and influence with opto-chemogenetics) the network representation
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Group” (web: opeg-umu.com ), and the selected postdoc will be part of a larger collaboration, with industry and international academic actors, aimed at the development of a printed white-emitting LEC
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-unique CO2 experiments, cutting-edge NMR spectroscopy and isotopomer analysis (doi: 10.1111/nph.20358). Two postdocs will work together to conduct plant ecophysiology experiments, and to analyze samples by
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experiments, samples from world-unique CO2 experiments, cutting-edge NMR spectroscopy and isotopomer analysis (doi 10.1111/nph.20358). Two postdocs will work together to conduct plant ecophysiology experiments
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Molecular Biology seeks a postdoc to a project entitled “Molecular mechanisms of development
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expertise are: Experiences of supervision (students, postgraduate students, postdoc) Participation in working groups or committees (department, faculty or university level) Experiences of collaboration
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humans and society at large is either fully automated or heavily relies on automatically provided decision support. While machine learning approaches become increasingly prevalent in this context
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automated theorem provers and recently popularized for optimizing compilers and many other optimization tasks. We hypothesize that an e-graph would be an effective tool for discovering and encoding a large
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expressions when the matrix sizes are unknown at compile-time. The project aims to address the problem using e-graphs. An e-graph is a data structure commonly used in automated theorem provers and recently