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Field
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student - Experience as Research Assistant or PhD student - Knowledge of analysis and synthesis methods and research methodologies in computer and communications engineering or computer science, minimum 1
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Pastrana, Guillermo Suarez-Tangil. IoC Stalker: Early Detection of Indicators of Compromise. Annual Computer Security Applications Conference (ACSAC). December 9–13, 2024. (link: https://suarez
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of the professional environment: - Organization and functioning of higher education and public research; Operational skills: - Write reports or technical documents; - Use the computer tools necessary for the control
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elaborate on 1) why you think you are the suitable candidate for this position; 2) your motivation to pursue a PhD, and, … Where to apply Website https://www.academictransfer.com/en/jobs/362567/phd-position
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the next generation of intelligent wireless systems. Where to apply Website https://www.academictransfer.com/en/jobs/362604/phd-in-hybrid-rf-and-optical-wi… Requirements Specific Requirements A master’s
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at the Faculty of Social and Behavioural Sciences has a job opening for PhD candidate. In the position of PhD candidate, you are responsible for conducting original research on computational models of semantic
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Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 31 Aug 2026 - 23:55 (Europe/Amsterdam) Country Netherlands Type of Contract Permanent Job Status Full-time Hours Per Week 40
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education. You must meet the requirements for admission to the faculty's doctoral program (see: https://www.ntnu.edu/ie/research/phd ). You must meet the requirements for admission to the IE Faculty. PLEASE
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 3 months ago
for the AMBIOM (Analysis of Microscopic BIOMedical images) Research Group: PhD Candidate (m/f/d) You will be responsible for Developing large-scale microscopy image analysis pipeline for 3D microscopy images
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PhD candidate you will develop new ways to extract cosmic-ray physics from KM3NeT data. You will design and characterise reconstruction methods—both machine-learning-based and traditional