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Pasteur and Sorbonne Université. More information about our team and research: https://www.institut-necker-enfants-malades.fr/node/2902 Qualifications Applicants should have a PhD or equivalent degree in
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later depending on funding. Additional information can be found at: https://sites.google.com/site/brandobellazzini/home https://www.ipht.fr/en/pisp/stefano-de-angelis/ https://carloheissenberg.com/ https
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an experimental test bench for the thermo-hydraulic characterisation of the injector; · Conducting experimental campaigns and validating numerical models against experimental data; · Analysing results and
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Controlling and manipulating quantum information using advanced nanoelectronic technologies represents a major challenge currently undertaken by CEA-LETI and its partners. A key objective of this
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Postdoc (f/m/d) at Rossendorf Beamline at the ESRF / Completed PhD in Physics, Chemistry, Materia...
Helmholtz Association of German Research Centres | Tremblay en France, le de France | France | 2 months ago-resolution X-ray Spectroscopy) and coordination with the assigned local contact # Performing your own experiments at ROBL at XRD and XES stations # Analyzing experimental data with quantum mechanical software
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, and contact information for two references to Helene Strick-Marchand ([email protected] ). Environment The Institut Pasteur in Paris is recognized worldwide as a leader in the field
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respect to the aims of the project and state-of-the-art - Continuous literature screening during the project and making a review Work in the multidisciplinary environment - Data treatment, writing
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your background, interests, and career goals align with its objective PhD diploma or a letter/information indicating the expected defense date Degree certificates and transcripts of university-level
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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the interface of machine learning and biology, developing innovative machine learning methods for single-cell data analysis (tools developed by the team: https://github.com/cantinilab). Single-cell high