75 application-programming-android Postdoctoral research jobs at Technical University of Denmark
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Job Description The Department of Civil and Mechanical Engineering, Section of Manufacturing Engineering invites applications for a 2-year Postdoc position. Research field Develop implantable
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, here is your chance to join our work on power-to-X (PtX) and energy storage. We invite applications for two postdoc positions in the field of PtX, electrolysis, electro-thermal energy storage such as
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access to state-of-the-art facilities and expert assistance with improving your proposal writing skills and feedback on grant applications. We actively facilitate building your professional networks, both
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areas: Experience with culturing fungi and in particular basidiomycetes Using fungi biomass for food applications MALDI TOF biotyper Microbiology Work with DNA and RNA analysis Phenotype screening Enzyme
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and execute innovative experiments in mucin biology and mRNA therapeutics alongside the PI. Mentor master students and contribute to their professional development. Write and submit grant applications
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in working with environmental sampling at Danish utilities. Applicants can have a background in chemistry, environmental sciences and engineering, or related fields, who have practical experience from
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can read more about DTU Electro at www.electro.dtu.dk . If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark . Application
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Job Description We are developing a fast, cheap, environmentally friendly way to mineralise CO2 , to make stable, useful products. We invite enthusiastic applicants to join our cross disciplinary
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Postdoc in development and testing of electrodes for liquid alkaline water electrolysis - DTU Energy
of catalytic materials for both hydrogen and oxygen evolution Application of catalyst particles on electrode substrates with different morphologies Coating of electrode materials with protective and catalytic
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overall aim will be to strengthen the department’s competences within the application of advanced methods for activity-based simulation models and machine learning methods in transportation. You will work