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24 Feb 2026 Job Information Organisation/Company IMT - Institut Mines-Télécom Research Field Computer science » Database management Researcher Profile First Stage Researcher (R1) Positions PhD
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samples from different clinical studies, which we analyse by both genome-wide and targeted methods for sensitive mutation detection. We aim to develop novel tools for cancer diagnostics by developing
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10 Apr 2026 Job Information Organisation/Company Université catholique de Louvain Research Field Communication sciences » Media studies Computer science » Other Language sciences » Linguistics
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The Mathematical Modelling of Infectious Diseases at Institut Pasteur consists of 12-15 researchers at different stages of their career developing state-of-the-art statistical and mathematical methods to analyze
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of the research areas with list of potential supervisors, list of training opportunities, programme details, description of the different stages of the selection process, and detailed instructions
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Information Science (GISc) — particularly in movement analysis — with teaching and student supervision? Have you recently earned a PhD in GISc and feel inspired to share your expertise with the next generation while
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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
6 Mar 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile Recognised Researcher (R2
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
of fellowship, continuously or with interruptions, within the technological and scientific system, and that the research work that led to the PhD degree was carried out in a different entity from the host
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, members of minority groups, protected veterans, individuals with disabilities, and others who would contribute in different ways. Have completed a PhD in computer science or related fields by the time of
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approach makes it easier to identify different local optima using sampling mechanisms. In stochastic optimization, distribution estimation algorithms (EDA) are an alternative approach to traditional