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, or Python. A strong publication record is an advantage. What We Offer The appointment will commence as soon as possible on a temporary basis for 1 year, with the possibility of renewal subject to satisfactory
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, Natural Resources, Sustainability, or closely related field. Demonstrated expertise in spatial analysis & GIS and remote sensing for land/water/agricultural applications. Strong programming skills in Python
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field (obtained within the last 3 years). Technical Expertise: Solid experience in processing Optical and SAR imagery and geospatial analysis. Programming: Proficiency in Python for EO data science (e.g
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the organization of prefrontal function in emotion. The funded project uses a combination of representational similarity analyses and individualized transcranial magnetic stimulation. Department: https
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(https://numpex.org/ ) Exa-DI and Exa-SofT projects. The position requires regular travel (approximately 1 week per month) to the Paris-Saclay Campus for collaboration with the Exa-DI Computational Data
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and experience: • Strong background in experimental design and/or causal inference (lab, field, or online experiments) • Extensive experience with data analysis (e.g., R, Python, or similar) • A clear
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, Yb:YAG/YLF, OPCPA, or related architectures Knowledge of simulation/design software (Python, Comsol, CAD) Drive to innovate and communicate in an international environment Proficient communication skills
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, such as Python and C++ Self-driven, motivated, and creative in designing image analysis pipeline according to project requirements A good communication skills with a good command of written and spoken
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pressure-temperature sensors Conduct independent code development and testing in Python or python-based languages Joint interpretation of seismological data and tidal or modelling data. Prepare presentations
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, experimental data bases and materials data bases together with novel AI tools. Where to apply Website https://auspire.eu/research-team/icn2-pf1-call-2/ Requirements Research FieldChemistryEducation LevelPhD