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postdocs will be part of the Research School. The DDLS program has four strategic research areas: cell and molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and
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integration, algorithm development and the creation of machine learning tools required for the project’. The successful candidate must have advanced knowledge of computer engineering, particularly of artificial
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with specialization in cognitive science, psychological methods or a related discipline. Extensive experience coding in R and Python (or related computer programming languages). Excellent written and
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fields. The PhenoMix Work Packages address phenotyping, plant ecophysiology, data science, and agronomic-economic performance with four doctoral students, two postdocs and several technicians assigned
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grant program - NeuroSync, supported by dedicated technicians and embedded in a dynamic team of PhD students and postdocs working with complementary technologies. NeuroSync investigates how species
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Chemistry (LCC, http://www.lcc-toulouse.fr/ ), one of the leading French chemistry institutes. We have at our disposal state-of-the-art technical and analytical platforms for the support of the project (e.g
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the national Data-Driven Life Science (DDLS) program. About the position and the project As an industrial PhD student, you will be employed by the startup company PredictMe AB while being formally enrolled as a
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than 260 PhD students and 200 postdocs will be part of the Research School. The DDLS program has four strategic research areas: cell and molecular biology, evolution and biodiversity, precision medicine and
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submit their application files and supporting documentation, in a digital form, in the IT portal, https://www.it.pt/Positions/PostDoc/817?page=1 This competition is open from April 9, 2026, to May 8, 2026
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application! We are now looking for a PhD student in Computer Vision and Learning Systems at the Department of Electrical Engineering (ISY). Your work assignments Your task will be to analyse and adapt vision