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software programs that support this work such as Esri’s ArcGIS suite, Adobe Creative suite (InDesign, Illustrator, Photoshop), R, and/or Python. Preferred Qualifications • Experience with Esri’s ArcGIS suite
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skillsExpertise in Generative AI: Strong background in machine learning, with specific experience in Large Language Models (LLMs), and Vision-Language Models (VLMs)Excellent programming skills (Python is required
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associated techniques (SEM, XPS, X-ray tomography, etc.) Experience in analysis coding (Python or MATLAB). Consideration will also be given to how the applicant’s experience and skills complement and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
proficient in one or more of the following programming languages: Python, Perl, R, Java, C. Candidates must be familiar with the functional genomics experiments indicated above and have experience analyzing
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. Experience with building simulation models (e.g., EnergyPlus, IDA ICE or similar). Good understanding of building physics Proficiency in programming e.g. in MATLAB, Python or similar environments for modelling
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record of research and publications related to the job descriptionStrong scientific writing and communication skillsExperience with Robot Operating System (ROS)Excellent programming skills (Python is
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experience developing reproducible machine learning pipelines applied to complex biological datasets also experience of coding in R and python. Applications for this vacancy should be made online and you will
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modelling (FE) of externally bonded reinforcements and concrete. If possible, experience in programming (python, MatLab). Experience in scientific writing with proven track record. Very good English, German
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efforts and contribute to publications in reputable academic journals. Qualifications: A PhD in Civil and Environmental Engineering or a related field High proficiency in programming languages (e.g., Python
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, training, evaluation) Proficiency in C/C++ and/or Python for systems and AI development Ability to design and run experimental evaluations on real systems Excellent scientific writing and communication