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Program
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Field
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SWAT+gwflow Proven experience in modelling natural and human-induced drought (streamflow and groundwater drought). Proficiency in programming (R, Python, or MATLAB) and GIS tools. Experience in climate
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(semantics/prosody preferred). Experience with neuroimaging (e.g., fMRI) and quantitative analysis. Proficiency in Python/MATLAB or similar tools. Record of peer-reviewed publications and independent research
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Methods for Partial Differential Equations and Functional Analysis, programming skills (e.g., Matlab or Python), international experience, and excellent proficiency in written and spoken English are
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with material characterization such as XRD, SEM, FTIR, ICP-OES Very good programming and user skills in Python, MATLAB, LABVIEW or comparable technical computing and simulation environments Good English
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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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programming (e.g., Python, R, MATLAB) Experience in scientific writing and manuscript preparation for peer-reviewed journals Ability to work independently and collaboratively in an interdisciplinary team
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a related field who bring hands-on expertise in in vivo calcium imaging or electrophysiology, along with strong data analysis experience in Python and/or MATLAB. Candidates who combine quantitative
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Expertise in FEM software (ABAQUS, ANSYS, SAP2000) and coding (Python/MATLAB). Professional engineering licensure (HKIE/CEng) or eligibility is a plus. Candidates for Professor or above should have
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semiconductors. You should have experience working in a laboratory environment, along with basic programming and data analysis skills (Python, MATLAB, LabVIEW). High motivation, very good English or German skills