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on wetlands. Further information on the Department is available at https://ign.ku.dk/ Further information on the Global Wetland Center is available at https://globalwetlandcenter.ku.dk/ Inquiries about the
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or more of the following is highly desirable: Python or LabVIEW or similar EPICS or similar control frameworks Motion control systems Vacuum instrumentation Temperature control systems Semiconductor
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various data analysis tasks. Your work will focus on carrying out data preprocessing, data wrangling, and carrying out analyses using R (and sometimes Python). An example project you could be working with
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the use of chemical databases, spectral libraries, molecular fingerprints, in-silico prediction tools and computational approaches for compound annotation. Programming skills, for example in Python, R
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development Qualifications PhD degree in Bioinformatics, Computational Biology, Computer Science, Mathematics, Physics, or a related field Strong experience with programming in Python, R, or similar languages
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-Chem • You will be contributing to the development of machine learning models used on data from Poleno Jupiters, applying Python and machine learning. • The position will focus on implementing
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general programming tools (such as Python) is desirable. For further information about the research project, please contact Professor H.C. Kongsted: [email protected] . Information about the department is
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numerical modelling, simulation, optimization, control, or engineering-data analysis. Good programming skills in Python, MATLAB/Simulink, or a comparable scientific computing environment. A fundamental
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related field at the level of a master degree Programming skills (Python) and experience with common machine learning platforms Experience with deep learning, computer vision, medical image analysis
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, or related areas. Strong programming and numerical modelling skills using Python, MATLAB/Simulink, Julia, hardware in the loop implementation or comparable tools. Experience with one or more relevant methods