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QGG Aarhus University seeks two Postdoctoral researchers in Quantitative Genetics of sustainable ...
quantitative genetics or animal breeding Has published high-quality research in peer-reviewed journals Experience with scripting languages (e.g., R, Python, SAS) and/or genetic software (e.g., DMU, ASReml) Can
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with an interest in ecological applications. Required qualifications: PhD (or equivalent) in computer science, biology, software engineering, or a related field Strong proficiency in Python, including
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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
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collaboration with local water utilities and software developers Integrate digital urban water twins with data, applying methodologies for data assimilation, parameter estimation, and quantification of model
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with electrochemistry and material science. Have strong analytical skills and experience with data analysis software. Proficiency in electrochemical techniques, such as voltammetry, amperometry, and
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with bioinformatics tools and software for data analysis (e.g. Seurat, SquidPy, Bioconductor). Strong understanding of statistical methods and data visualization techniques. Familiarity with spatial
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, Computer Science, Software Engineering, Applied Mathematics, Robotics or a related field. Qualification requirements Appointment as postdoc requires academic qualifications at PhD level. Who we are The Department
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related field. Simulation Expertise: Proven experience with finite element method (FEM) simulations using software such as COMSOL, Ansys, Lumerical, or Sonnet. Experience with electronic design automation