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Field
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. Advanced proficiency in R and/or Python; experience with reproducible workflows (Git/GitHub, R Markdown/Quarto). Extensive experience working with large-scale longitudinal or multi-cohort datasets
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such artificial empathy, and how this relates to AI sycophancy and mental health. For more information about the research conducted in the lab, please visit the lab website at https://cascoglab.psy.utexas.edu
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to demonstrate skills on Data Analytics and Machine Learning, in particular on distributed ML. Must have very good programming competence in Python, Java, C/C++ or equivalent Fluent oral and written communication
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national and international public health policy. For more information, visit our GitHub page at https://ceph-lab.github.io . Located on the flagship campus of the Indiana University System, IU School
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project “Actively learning experimental de-signs in terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo/english/research/projects/activate/index.html The PhD fellow will be part of a growing
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experiments. ● Experience with readout electronics and data acquisition systems. ● Advanced coding skills in C++ and Python. Application instructions: All individuals interested in this position must submit a
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Documented Python programming skills Desired qualifications: Experience with change point detection and anomaly detection Relevant experience with data from the maritime sector Language requirement: Good oral
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• Computational skills for multi-omic data analysis (R, Python) is a plus. Department Contact for Questions Dr. Asmaa El-Kenawi Email: [email protected] Website: https
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. Basic Qualifications An ideal candidate will have a PhD in computational biology/bioinformatics/statistics/CS or another quantitative field, as well as superb programming (Python, shell scripting) and
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Postdoctoral Fellow (two open positions) in the High Energy Neutrino Group in the School of Physics.
modeling and cross-section measurements, particularly within experiments such as SBND, DUNE, or ProtoDUNE. • Proficiency in scientific computing and software development (C++, Python, ROOT), with experience