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), Experimentation, Genome-Wide Association Study (GWAS), Laboratory Operations, Laboratory Techniques, Magnetic Resonance, MATLAB, MRI Analysis, MRI Software, Neuroimaging, PET/CT, Presentations, Python (Programming
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scientific programming and algorithms is desirable Experience working in a research environment a plus General languages (preferred): C++, Python, MATLAB CUDA (strongly preferred) Machine learning knowledge
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MATLAB/Simulink together with real time control, Labview, data acquisition and prototyping platforms. It is essential that you can demonstrate practical work in these areas, as the project aims to produce
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programming with e.g. Python, Matlab, Julia. In your application, please give a detailed account of your experience in the above-mentioned areas. We offer DTU is a leading technical university globally
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PhD student will expect to develop some experience in developing power systems models using a range of computer languages and tools (e.g. Python, MATLAB, OPNET, etc), ideally for applications involving
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languages to collect research or QI data from clinical systems. Works with investigators to design and implement data cleaning and analysis methods using Python, MATLAB, R, or other languages. This includes
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(i.e. machine learning, neural nets, LLMs). Prepare results and design figures for reports and presentations. Manage and manipulate data using requested languages, including Python, R, MATLAB, and STATA
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documented health or maternity-related leaves); Familiarity with programming languages such as Python, R, or MATLAB; Hands-on experience in developing and implementing bioinformatics pipelines and tools
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control (broadly construed). Expert knowledge of a scientific programming language (preferable: MATLAB or Python) Experience with one or several of the listed human neuroscience techniques. Ability to work
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Science, Computational Biology, Bioinformatics, or a closely related field. Experience with computational modeling, statistical programming (Python, R, MATLAB), or machine learning. Experience working with large datasets