43 algorithm-"Multiple"-"Prof"-"U" "NTNU Norwegian University of Science and Technology" Postdoctoral positions in Denmark
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key responsibilities will include: Designing and implementing advanced LabVIEW and C++ based control software for our HS-DAFM platform Developing specialized signal processing algorithms and circuits
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experience with isolation, cultivation and characterization of bacteriophages from multiple bacterial hosts Extensive hands on and documented experience with genome characterization and comparative genomics
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solutions and policy impacts. You will design and implement machine-learning algorithms that interact with your simulation framework for scenario discovery, building surrogate models of simulation outputs
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separate job advert “Postdoc in advanced reconstruction algorithms for time-resolved nano CT of sustainable cement ”) Research and teaching efforts at a section and departmental level as appropriate and
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mechanism. Recent developments in protein structure prediction and protein de novo design have opened new possibilities for probing such mechanisms. The project will seek to use existing algorithms to new
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Across Multiple Disciplines) Center financed by the LEO Foundation. You will be part of building this new center which bridges Aarhus University, Faculty of Health and Faculty of Natural Sciences, and
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the new DREAM (Dermatology Research Across Multiple Disciplines) Center financed by the LEO Foundation. You will be part of building this new center which bridges Aarhus University, Faculty of Health and
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for a long time and successfully discovered multiple new drug effects under this umbrella. Specifically, this position will be responsible for two projects dealing with generating signals within
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In a context of multiple global crises–COVID-19, increased inequality, and climate change–citizens are looking to political leaders and the state to solve problems and protect them. The increased role
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contributing to specifically the area of handling spatial data to assess the distribution of several soil properties and fungal communities using samples collected from multiple habitats and land use types at a