155 programming-"https:" "https:" "https:" "BioData" positions at Technical University of Denmark
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conducts research, development & scientific advice and provides educational programs and service to society. We are working to develop new environmentally friendly and sustainable technologies, methods and
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characterization of soft scaffolds with programmed morphological characteristics and tailored mechanical properties. The research will be supervised by Associate Professor Stavros Gaitanaros. As part of the project
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understanding of transcriptomics and functional genomics, ideally using single cell technologies Knowledge of R and/or Python for analysis of large datasets Interest in cardiovascular biology Ability to plan and
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, that can be documented by a publication record in relevant venues. Solid understanding of state-of-the-art embedded machine learning techniques. Experience in system-level programming, developing prototype
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software skills Proven experience with CFD automation, e.g. using PyFluent or similar Python APIs for meshing, solver control, post-processing and data management. Solid experience programming in Python