Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Denmark
- Aalborg University
- Nature Careers
- University of Southern Denmark
- University of Copenhagen
- Aalborg Universitet
- Technical University Of Denmark
- Copenhagen Business School
- Aarhus University
- DTU Electro
- Graduate School of Arts, Aarhus University
- COPENHAGEN BUSINESS SCHOOL
- Danmarks Tekniske Universitet
- NKT Photonics
- Technical University of Denmark (DTU)
- University of Groningen
- 6 more »
- « less
-
Field
-
, Grasshopper, Python). Explore new trajectories for the advancement of AI-supported integrated architecture and its potential impact on the build environment. Contribute to developing open-source tools and code
-
in data analysis with proven experience with programming in Python Be skilled in experimental work Approval and Enrolment The scholarship for the PhD degree is subject to academic approval, and the
-
Python-based tools such as BioSTEAM and Brightway LCA Software are required. Excellent communication skills in English, and willingness to work in an international, interdisciplinary team. Openness
-
Modeling (Conceptual process simulations) is a major requirement for this position. Familiarity with both GUI-based process simulation tools (e.g., Aspen Plus, SuperPro Designer), and Open-Source Python
-
. R, MatLab, Python) are expected as is experience in planning and executing fieldwork. Preferable you have experience with various telemetry methodologies to study fish behavior (e.g. PIT, radio
-
, Python) are expected as is experience in planning and executing fieldwork. Preferable you have experience with various telemetry methodologies to study fish behavior (e.g. PIT, radio, acoustic, and
-
correction and/or mitigation. Knowledge about networking protocols and distributed algorithms. Experience in programming, e.g., in C++, Python or Matlab. Experience with quantum simulators, such as NetSquid
-
wind energy systems. In particular, experience in one or more of the following areas will be considered highly beneficial: Scientific programming in Python or MATLAB Structural mechanics, reliability
-
of advanced wind turbine components. Experience in one or more of the following areas will be considered highly advantageous: Scientific programming in Python or MATLAB Probabilistic methods, Bayesian inference
-
highly advantageous: Scientific programming in Python or MATLAB Probabilistic methods, Bayesian inference, or stochastic modelling Structural mechanics, material modelling, or multi-physics simulation Data