24 assistant-and-professor-and-computer-and-science-and-data PhD positions at Aalborg University
Sort by
Refine Your Search
-
volatility. CLASSIQUE is organized into four Research Thrusts that rely upon interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and
-
Research, Computer Science, Mathematics, Applied Mathematics, or related fields. Proficiency in programming languages such as Python, R, or other programming languages. Familiarity with multi-agent systems
-
, and material separation. Accordingly, the candidate is required to have an Engineering degree on master’s level within manufacturing engineering, automation, or computer science. Specifically, we look
-
://www.isu.aau.dk/ and https://lifeindenmark.borger.dk/ You may obtain further information from Associate Professor Peter Fojan, Department of Material and Production, Phone: 99407481, Email: fp@mp.aau.dk
-
. Documented experience with any project in the blue bioeconomy domain, with Life Cycle Assessment, and with programming for data science(R, python) will be considered a strong plus. Proficiency in English is a
-
For more information of the The Doctoral School in Medicine, Biomedical Science and Technology: https://www.phd.aau.dk/health The application is only to be submitted online by using the"Apply online" button
-
University, which has conducted research within computer vision and machine learning for more than 20 years. The lab is headed by Professor Thomas Moeslund and currently comprises approximately 25 scientific
-
At Aalborg University Business School, one position, as PhD student within Business Data Science, is open for appointment on August 1, 2025, or as soon as possible thereafter. The PhD student will
-
contact professor Jens Scherpe, phone: 9940 9879, email:jscherpe@law.aau.dk or program leader Lene Wacher Lentz, phone: 6169 9661, email:lwle@law.aau.dk . For general information about the application
-
developing the skillset on underwater perception technologies within topics such as: Qualifications: A master's degree in computer vision, computer science, robotics, electrical engineering, or a related field