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(such as R and Python), and other data analysis tools (such as MATLAB, SPSS, SAS, Qualtrics, and Tableau). Experience training and consulting on the development of data management and sharing plans
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monitoring. Familiarity with computational image analysis, scripting (Python, MATLAB), or machine learning–based image workflows. Experience with method development, imaging assay optimization, or pipeline
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research potential. Candidates will be considered with background in the areas of hyperbolic PDEs and optimization problems. Expertise in numerical simulations (with Matlab or Python) will be valued
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simulation and laboratory testing of marine renewable energy technologies. Competence in data management, statistical analysis, and visualization tools (e.g., MATLAB, R, Python). Knowledge of marine operations
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., MATLAB, Python) is required. Experience with machine learning is highly preferred. Ability to work independently and as part of a team. Key Requirements for PhD: Hold a Bachelor's degree with outstanding
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Maxwell’s equations and scientific programming (e.g., Matlab, Python, C++) Competent in teamwork and presenting results in informative visuals Interpersonal skill: Ability to work under pressure, Ability to
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engineering Machine learning or AI methods (e.g. anomaly detection, classification, regression, time-series modelling) Programming skills (e.g. Python, MATLAB or similar) Experience with industrial systems
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expertise and experience in vision science, retinal neurobiology and advanced connectomic methods and related data analyses skills including advanced statistics, MATLAB and Python programming skills
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computational tools such as Python or MATLAB Excellent team player that can also work independently High degree of reliability, organizational and interpersonal skills Service oriented approach towards researches
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datasets. 1-3 years of experience with crop modeling using gridded datasets Preferred qualifications Strong programming skills in scientific computing languages (e.g., Python, IDL, R, MATLAB, or similar