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record of peer-reviewed articles. High proficiency in graphical and statistical software, such as RStudio, Python, ARM, and BioRender. Knowledge of fundamental ecological theories and their applications in
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as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. JOB SUMMARY The Postdoctoral Research Associate will be an active member of the Laboratory
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
Vision and speech processing, multimodal signals processing and fusion; Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow) with several years of practice; First-author
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; measurement system characterization, e.g., validating platform performance such as dynamic range, linearity, phase noise and measurement uncertainty; automated test & data acquisition, e.g., using Python/MATLAB
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 24 days ago
, astrophysics, or a related field. Experience with numerical methods and scientific programming in Python, Fortran, C, or similar languages. Experience with turbulence, rotating flows, convection
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skills in R and/or Python Experience analysing complex biological datasets A clear scientific vision on precision nutrition and integrative data approaches Preferably, you also have: Experience with
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Research Assistant/Assistant Professor (Postdoctoral Researcher) for the project 2025/57/B/NZ8/03444
ecosystems, statistical data analysis, programming and data analysis using languages such as R and/or Python. Experience in conducting scientific research related to ecology, environmental monitoring
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interest in Earth system and climate change sciences; hands-on and curiosity-driven, and ability to work independently and collaboratively; affinity with object-oriented coding (preferably Python), GIS and
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, artificial intelligence, computer vision, robotics, UAVs, etc. is a plus. Other preferred qualifications include: expertise in programming and coding (preferably using Python and C++) and GUI development
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several—of the following: policy analysis, survey research, quantitative analysis, scientometrics, stakeholder co-creation. Advanced proficiency in R and python for statistical and corpus analysis Ability