41 algorithm-phd "INSAIT The Institute for Computer Science" Postdoctoral positions at CNRS in France
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Eligibility criteria PhD in Materials Science, Process Engineering, or a similar field. Required Skills: Proficiency in ceramic and composite material development processes, as well as structural, mechanical
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components: - operational modal analysis to extract the modes of the probed medium, - algorithmic and experimental developments on the MSE method - and algorithmic and experimental developments on the MFP
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reconstruction algorithms. Inconsistencies can be used to correct the input data, for example to improve attenuation correction. The aim of this postdoc is to correct rigid motion in SPECT reconstruction based
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for: • Contributing to various tasks related to the modeling of lipids and membrane proteins involved in lipid droplet biogenesis. • Developing and implementing the POP-MD algorithm in the OpenMM software
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5 Sep 2025 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis Research Field Computer science Mathematics » Algorithms
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for biomarkers in 7T images. - Development of artificial intelligence algorithms and models for the processing and analysis of MRI images/spectra, focusing on the detection of tumor tissue and the quantification
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. Motivated and enthusiastic PhD chemist with 0-2 years post-PhD experience, a main background in supramolecular chemistry and a keen interest in chemical biology. You will be involved in the synthesis
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(researchers, teacher-researchers, engineers, technicians and administrative staff) and about 140 PhD students, postdocs and fixed-term contract staff. Each year, the laboratory hosts about 120 interns and
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researchers, PhD students, engineers and technicians in a multicultural and international environment. The candidate will join the group of Malene R. Jensen, which specializes in understanding the role
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well as their electrical characterisation. His/her role will involve overseeing all nanofabrication activities within the project, including the development of new cleanroom processes, as well as training PhD students in