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Tableau cloud for scenario building and forecasting. Assist with staff usage of Tableau features. Support user adoption of Salesforce. Utilize Python scripting to solve various tasks accurately and
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(e.g. fuel cells, batteries, heterogeneous catalysts, interfaces) Proficiency in high-level programming languages, e.g. Python Previous supervision of graduate students, as well as laboratory
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presentations and draft sections of research papers Location: Department of Economics, Harvard University, Cambridge, MA Supervisor: Professor Gita Gopinath, website: https://gopinath.scholars.harvard.edu
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experiment on a metric-scale concrete wall, using the multi-physics NDE probe integrated onto drone platforms. Expected Results A Python-based multi-physics Maching Learning framework for NDE characterization
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project suits applicants with strong quantitative skills, an aptitude for coding, and an interest in textual analysis, large language models and computational methods. Previous experience in Python/Matlab
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Bank. Where to apply Website https://www.atu.ie/connect/jobs/research-jobs Requirements Research FieldEnvironmental scienceEducation LevelPhD or equivalent Skills/Qualifications Minimum of PhD in marine
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software tools to model systems e.g. R / Python / VBa / bespoke microsimulation or other software packages Desirable Interview Good knowledge of statistical methods relating to the analysis of cross
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. Required PhD in Computer Science / AI / Machine Learning Strong publication record in AI, ML systems, or related areas Strong programming skills in Python, C/C++ and experience with PyTorch, TensorFlow, JAX
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. Excellent programming and computer science skills in C/C++, Python or other modern language and ML codes such as PyTorch or Keras. Clear and concise oral and written communication skills.Applicant will be
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strong internationally oriented research environment. Further information about the section is available at https://ruc.dk/en/research-group/mathematics-and-physics-imfufa. Responsibilities and tasks