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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 13 days ago
a testbed Specific Requirements The recruited PhD should be with a good background in networking and telecommunications, as well as in signal processing and AI. Ideally, it should have experience
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intelligence, signal, speech and image processing, data science and machine learning, antenna and propagation, radio frequency (RF) / microwave engineering and wireless communications, photonics and optical
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-malicious actions targeting control signals, measurements, and local decision-making units. The PhD will focus on the detection and classification of intelligent cyberattacks targeting local controllers in
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the following criteria: PhD in the specific research field (maximum 10) Suitability of the CV for the job (maximum 50) Motivation letter (maximum 20) Interview (maximum 20) Selection process The specific
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PROCEDURE FOR THE RECRUITMENT OF AN ENTRY-LEVEL PhD RESEARCHER AT THE FACULTY OF ENGINEERING OF THE UNIVERSITY OF PORTO – (Fixed-term employment contract of uncertain duration) By order dated 30-09-2026
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or appropriately aggregated form. Where to apply Website https://phd-recruiting.medunigraz.at/ Requirements Research FieldChemistryEducation LevelMaster Degree or equivalent Skills/Qualifications Applicants of any
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deposition characteristics from discharge signal data. The aim is to reduce process development iterations for EDM shaping with concurrent functionalization of surfaces by deposition of elements from electrode
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junior team members. Requirements PhD in Biomedical Engineering, Neuroscience, Psychology, Data Science, Computer Science, or a related field. Strong experience in neurophysiological signal processing and
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This PhD aims to develop novel robotic monitoring and data processing methods to document changes in dynamic seafloor environments over large spatial scales. Motivation: Understanding how
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This PhD aims to develop novel robotic monitoring and data processing methods to document changes in dynamic seafloor environments over large spatial scales. Motivation: Understanding how