22 parallel-computing-numerical-methods PhD positions at Aalborg University in Denmark
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
PhD in Artificial Intelligence, Digital Methods and Social Science. Apply Vacant position PhD in Artificial Intelligence, Digital Methods and Social Science. Aalborg Deadline : 09.08.2026 Department
-
, and comparing their performance with relevant classical approaches. You will also evaluate the developed methods through numerical studies and real-time power system simulation. The research will
-
PhD Position in Data-Driven Mathematical Methods for Autonomous Underwater Vehicles Apply Vacant position PhD Position in Data-Driven Mathematical Methods for Autonomous Underwater Vehicles Aalborg
-
PhD in Statistical Methods for Privacy-Preserving Analysis of Spatial Health Data Apply Vacant position PhD in Statistical Methods for Privacy-Preserving Analysis of Spatial Health Data Aalborg
-
the position. Your work tasks You will develop and validate digital-twin and optimization methods for electrolysis systems, working both independently and collaboratively with the group and with
-
project aims to advance non-destructive, rapid, and highly sensitive hyperspectral methods for the detection, identification, and characterization of forensic traces, including fire debris, biological
-
-established field of research, these are still very much open problems. To this end, we are looking for candidates interested in developing new machine learning methods for medical image analysis, with a
-
Computing Section at Aalborg University’s Department of Computer Science. We provide an ambitious and supportive research environment focused on the design and evaluation of interactive systems that
-
equivalent with the Danish MSc degree to qualify (which is 2 years) Highly skilled in numerical modelling and programming is essential Experience with at least two of the following disciplines is
-
sociale problemstillinger. Forskningsprojektet forventes gennemført ved anvendelse af kvalitative, kvantitative eller mixed methods-tilgange og kan omfatte studier af borgeres erfaringer med