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Field
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dynamics, applying advanced non-targeted metabolomic approaches using high-resolution mass spectrometry, including data processing, metabolite annotation and identification workflows, as
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students, faculty, staff, and partners we serve. This position has the option to work in-person, hybrid, or remote. Work arrangements will be discussed during the interview process. Onsite location: West
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the application form available at https://hr-ucpporto.inqueritos.porto.ucp.pt/278127?lang=en . Applications must be submitted in English. Applications shall include the following documents: a) Curriculum vitae. b
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experience in computational electrocatalysis or modelling of electrochemical systems is required. Excellent written and oral communication skills in English are expected.The duties, qualification requirements
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Postdoctoral Position and Postdoctoral Fellowship (2yrs) in Intracellular Host-Pathogen Interactions
proteomics analyses. APPLICATION PROCEDURE Please note that the application procedures differ between the two postdoc projects. More information about the application procedures is provided here: https
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fundamental questions about soil health in agricultural cropping systems and advance your research career in a leading international research environment. The position is part of the EU project MultiSoil (https
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than 1,800 employees and nearly 21,600 students. The Department of Civil, Environmental and Natural Resources Engineering (CENE) offers unique, collective research expertise in civil and structural engineering
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native language, Chalmers offers Swedish courses to help you settle in. Application procedure The application should be written in English be attached as PDF-files, as below. Maximum size for each file is
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(negotiable) Group or Departmental Website: https://urbanresilience.stanford.edu/ (link is external) How to Submit Application Materials: Interested candidates should apply at https://forms.gle
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with expertise in the following four areas: (1) working with large-scale digital trace data; (2) building and running natural language processing and machine learning workflows; (3) experimental design