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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
. Assignments: With the help of Jeremie Dequidt (WP3 leader, Inria DEFROST team) and the WP3/T3.3 consortium partners, the recruited person will be taken to design, develop and validate the control software
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present scientific results. # Software and tools - Proficiency in standard computer tools. - Experience with mass spectrometry data processing and analysis software. # Personal skills - Autonomy, rigor, and
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international conferences. - PhD in plasma physics or related field. - Demonstrated knowledge of basic plasma physics. - Experience in developing analytical models and software development. - Documented
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part of a team / network. Use job-specific software. Specific Requirements PREREQUISITES Ph.D. in Biochemistry and/or cellular biology and/or pathophysiology, including at least two accepted publications
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hold a Ph.D. in materials physics or scientific imaging, with proven experience in spectral imaging techniques (e.g., software such as Python, R, HyperSpy) and/or synchrotron techniques (luminescence, UV
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(PIT-tags, hydrophones, geophones, etc.). 2) Modeling and data analysis: - Proficiency in GIS tools (QGIS, ArcGIS) and hydraulic modeling software (HEC-RAS, TELEMAC, Mike). - Advanced programming (Python
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with 3D cell culture, organoids or tissue engineering will be considered a strong advantage. Experience with image analysis software (ImageJ/Fiji) and scientific computing tools (Python, R or equivalent
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plan experiments carried out by technical staff (BTS/DUT level) and/or engineers and Master’s students involved in the project Use specialized software tools for bibliographic research, reference
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on imaging concepts, knowledge of Matlab, Python programming languages and commercial software based on the finite element method is a plus, excellent communication skills (written and oral) in English. A very
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- 4 Additional Information Eligibility criteria - Evolutionary genomics analyses on large NGS datasets -Knowledge on coding (C ,C++, or java), script writing (python, perl), R software and shell Unix