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. Programming gene circuits Modeling and designing synthetic DNA components Construction of Chemical Reaction Networks (CRNs) Simulation and analysis using MATLAB and Visual DSD Robust analysis of various modules
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of quantum chemical calculations (DFT) is advantageous. An interest in machine learning and AI-based methods, as well as programming skills in languages such as Python or MATLAB/Simulink, is beneficial
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non-academic stakeholders Experience in soil sampling Knowledge and experience with statistics and statistical software such as R or Matlab Skills in GIS and remote sensing Experience with forest
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; significant practical experience in 3D image analysis or computer vision; knowledge and experience in scientific programming (python (preferred), Matlab or other relevant language) with application to image
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processing Programming skills (e.g. Python or MATLAB) Statistical analysis A strong publication record * The date shown in your doctoral degree certificate is the date we use, as this is the date you have met
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of properties of building materials. - Publishing Scientific articles in the field of study. - Documented laboratory and field sampling and analyses. - Experience in using software. e.g. OpenLCA, BIM, Matlab
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Merits: Experience with Matlab Prior coursework or project experience in railway mechanics Background in signal processing Knowledge of machine learning techniques Main responsibilities Your primary
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tools in Matlab, suitable for quantifying neuronal responses in the insect visual system to specific features. These tools will be used to identify neurons in the insect brain that are selective
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your application: Proven experience with data analysis and programming (e.g., GAMS, Matlab, Python or R). 7.5 credit course (or more) in sustainable energy futures Experience of other energy and
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dynamics of fluid and thermal systems. Proficiency in programming and data analysis tools, such as Python and MATLAB (or equivalent). Excellent proficiency in English, both spoken and written. Assessment