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of nanodevices and their multiple functionalities for bio-inspired computing. The team includes two permanent CNRS researchers, two Thales researchers, 4 post-docs, and 4 PhD students. Where to apply Website https
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, retrieval algorithm, applications in hydrology) and will benefit from their knowledge and experience on the mission. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5126-ARNMIA-005
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in programming (MATLAB, Python, R) Experience using advanced statistics Ability to build advanced experimental interfaces (using Matlab, Psychopy, JavaScript, etc.) Track record in publishing
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scripts to process and analyze behavioural and neuroimaging data in languages such as Python, Matlab, or Bash and/or using standard neuroimaging analysis software; Conducts statistical analyses using tools
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platform and provide Python/Jupyter-based tools for collaborators, contributing to FAIR datasets and open-source software (Co-)Supervise student projects at BSc, MSc, and PhD level Write research articles
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learning pipeline in Python (using e.g. PyTorch) - validation of your results in collaboration with colleagues from various application areas (cross-disciplinary) - publication and presentation of your
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website: https://www.ucd.ie/workatucd/jobs/ Where to apply Website https://www.aplitrak.com/?adid=eWFzZW1pbi5vemRlbWlyLjE5OTYwLjk5MDhAdW5pY2R1Ymxp… Requirements Research FieldEngineeringEducation LevelPhD
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, quantitative image analysis) Computational skills in data processing and statistical analysis; experience with sc/snRNA-seq, NGS, metabolomics, proteomics datasets (R/Python) is highly desirable Demonstrated
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Basic knowledge of Linux, Python, or C++ Department Preferences: Preferred major within Atmospheric & Geographic Science or related field, such as Computer Science, Engineering, or Physics Scripting
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ERC funded project on the human gut-brain axis (https://cordis.europa.eu/project/id/865568 ). The ideal candidate will have strong expertise in data analysis related to gut microbiota and metabolite