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Field
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one year of experience in applying analysis and synthesis methods and research methodologies in computer and communications engineering or computer science. The successful candidates will contribute
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. As a PhD candidate, your goal is to develop new methods for assessing climate risk due to consecutive droughts and at different scales in Europe. Based on these risk assessments, the PhD will develop
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this methodology and toolkit in user studies to investigate how people perceive, interact with, and adapt to dynamic textile materials over time, advancing methods for studying embodied interactions with emerging
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Responsibilities Teaching as needed, particularly in the area of "Cryptology & Privacy" Scientific research in the field of symmetric cryptography Developing new methods for the design, cryptanalysis, and formal
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to build and characterise these DNA devices. The project will also explore optimisation methods to improve reliability, scalability, and performance in complex nucleic-acid-based systems. The student will
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experimental methods are available and currently fully operational in the laboratory. Collaborative Environment: Centrifugal instabilities are not limited to magnetized plasma columns in the laboratory but also
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 2 months ago
15 Jul 2026 Job Information Organisation/Company Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial Department Human Resources Research Field Engineering » Computer
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
Contract. General Positioning Artificial intelligence (AI) began revolutionizing digital services in 2013 with its application to image processing and computer vision. A second revolution arrived around 2020
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> Familiarity with classical statistical methods and knows when and how to apply them in a rigorous fashion; Easily learns how to apply new statistical methods; will seek out and learn new methods to better solve
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methods for multimodal and longitudinal patient modelling • Build and evaluate foundation models on large-scale clinical datasets • Work with radiology, pathology, genomics, laboratory, and clinical text