52 mathematical-analysis-math-physics Postdoctoral positions at Technical University of Denmark in Denmark
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use your skills to answer fundamental biological questions in health and disease. The successful candidate is expected to leverage their skills in proteomics and computational analysis to interrogate
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has experience with quantitative data collection and analysis. We’re looking for a colleague who is passionate about the research topic, highly organized and able to work independently, and able to work
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Designing and performing immunochemical analyses Bioinformatic analysis of data Data analysis and interpretation of results Scientific dissemination. You will work in close collaboration with other
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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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Postdoc in development and testing of electrodes for liquid alkaline water electrolysis - DTU Energy
multi-physics modelling, autonomous materials discovery, materials processing, and structural analyses. We also focus on educating engineering students at all levels, ranging from BSc, MSc, PhD
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Engineering of Additive Manufactured Metals—MicroAM’. The MicroAM project aims to develop (i) a laboratory-based X-ray microscope capable of mapping local residual stresses, (ii) a multi-scale AM process
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institutional context, job roles and available resources. You will be employed at DTU Management and be associated with the section for Organisation Science and Technology. You will work physically from CAISA
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. Uncovering these mechanisms will inform the process design for next-generation biofertilizers, and beyond. Responsibilities and qualifications Your role will be to develop novel, robust, and scalable
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. The technologies include fuel cells, electrolysis, power-to-x, batteries, and carbon capture. The research is based on strong competences on electrochemistry, atomic scale and multi-physics modelling, autonomous
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] that process information in temporal rather than spatial modes to reduce their footprint. The project involves a collaboration between DTU Electro (Senior Researcher Mikkel Heuck) and Harvard University (Dr