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innovative methods for processing and analyzing MRI images (3 Tesla and 7 Tesla) of various modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. The aim is
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traits, possibly through machine learning, and thus explore the functioning of pelagic ecosystems at a finer level than just community composition. Within the TraitZoo consortium, it will also be possible
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project involves collecting and curating a large volume of data. The development of the predictive algorithm will require a good understanding of machine learning evaluation and interpretation techniques
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7 Feb 2024 Job Information Organisation/Company IMT Atlantique Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Country France Application Deadline 3
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of machine-learning algorithms and density functional theory models. The postdoctoral researcher will be at the interface of all these approaches and will have some opportunities to take part in several
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Genomics®) and implementing new strategies (Xenium, 10X Genomics®). For the data analysis, publicly available tools and in-house developed methods, including machine learning and statistical modeling, will
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(cloning, western blot, RT-qPCR, isolation and analysis of protein and ribonucleoprotein complexes, gene silencing or editing, siRNA/shRNA/CRISPR-CAS9) is required. Computer skills and proficiency in biology
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(https://www-ipcms.u-strasbg.fr/stmipcms/ ). These two teams currently comprise five permanent staff members, two engineers, 4 PhD students, 2 Postdocs and Several MSc interns. In addition to the subject
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advanced particle in cell simulations to model and optimize laser wakefield acceleration processes. • Work on the application and development of machine learning algorithms for the post-processing
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, Python, Bash). Good level on machine learning. Good level of written and oral English. Ease in a multidisciplinary environment, taste for teamwork, interpersonal skills. Scientific curiosity