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Field
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within electricity networks. It is meritorious to have experience in data analysis, time-series processing, and model implementation using Python or similar tools. Awareness of diversity and equal
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computational science, collaborating with leading European research groups and benefiting from advanced GPU and HPC infrastructure. Where to apply Website https://www.academictransfer.com/en/jobs/359110/postdoc-2
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interest in learning, adaptation, and dynamical systems in physical contexts Experience with analytical and\or computational modeling. Proficiency in numerical methods and coding (Python, JAX, MATLAB
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statistical analysis of neuroimaging data. Implement, document, and maintain analysis scripts using Python and/or MATLAB. Integrate cognitive, affective, behavioural, and neuroimaging datasets to test
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funding. Appointment Start Date: Fall 2025 Group or Departmental Website: https://hph.stanford.edu/careers/ (link is external) How to Submit Application Materials: Submit all application materials
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
pests, or high-throughput phenotyping Solid background in mathematics and scientific programming (R, Python, etc.) along with effective logical reasoning skills Experience with high-performance computing
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: 282551530 Postdoctoral Research Associate D-25-CBE-00007 | Research | Chemical & Biological Engineering The Rosen Research Group at Princeton University (https://rosen.cbe.princeton.edu) is searching for a
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pests, or high-throughput phenotyping Solid background in mathematics and scientific programming (R, Python, etc.) along with effective logical reasoning skills Experience with high-performance computing
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, Skills in Python, R, GEE, or other relevant programming environments in the satellite remote sensing field, Experience working with high-resolution imagery and aerial photos, Skills in academic writing and
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, which might include analysis and comparisons with the dynamics in tropical countries (VBD-mode, funded by BMFTR; https://clinicalepi.de/projects/vbd-mode.html) Collaborating closely with national and