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Assistant Professor in Electrical Energy Technology, Department of Electrical and Computer Engine...
. Relevant industrial R&D experience is an asset. About the Department of Electrical and Computer Engineering, Aarhus University The Department of Electrical and Computer Engineering is one of four engineering
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data analyses in R Strong English communication skills; both written and orally Experience with the Snakemake workflow management system An interest in working with antimicrobial resistance (AMR
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imaging, especially in vivo imaging Coding experience in Matlab, Python or R Record of first-author publications or preprints Success in competitive funding schemes/awards Experience with inflammatory
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to engage in interdisciplinary collaboration and teaching. Good programming capabilities in advanced analysis software (e.g., Python, R, MATLAB, Julia, or similar) and mathematical optimization suites
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programming capabilities in advanced analysis software (e.g., Python, R, MATLAB, Julia, or similar) and mathematical optimization suites (e.g., GAMS, Pyomo, JuMP, or similar). Besides that, your ability and
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to outbreak detection, investigation, and infectious disease surveillance, including strong data analysis and statistical skills, and experience using R. Have experience in planning and delivering specialised
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biological and chemical processes. Conduct R&D on the complete treatment and separation process o evaluate the effects of impurities in input gas, methods of input gas pretreatment, and output gas post
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microscope), signal transduction , and3D cell culture Experience with data analysis and visualization (e.g. R environment and Cytoscape; Imaris) At least one publication in relevant peer-reviewed international
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microscope), signal transduction , and 3D cell culture Experience with data analysis and visualization (e.g. R environment and Cytoscape; Imaris) At least one publication in relevant peer-reviewed
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development. You have experience in medical statistical data software analysis (using R, STATA or similar), as well as integrative analysis of molecular data in relation to clinical datatypes, such as