Sort by
Refine Your Search
-
Category
-
Country
-
Employer
-
Field
-
Applications are invited for a 3-year PhD fellowship within the general field of coastal engineering at the Technical University of Denmark (DTU), Department of Civil and Mechanical Engineering
-
or Komagataella phaffii , FACS-based screens, next-generation sequencing, and handling of large datasets with e.g. Python or other high-level, general-purpose programming languages is beneficial. Excellent
-
employees and it is located at the Lyngby Campus of the Technical University of Denmark together with 19 other institutes within the technical sciences. DTU Space is the leading institution of public space
-
fibre-optic sensing technologies and structural health monitoring Skills in data processing and numerical tools such as MATLAB or Python A high level of motivation, intellectual curiosity, and the ability
-
Job Description Applications are invited for a 3-year PhD fellowship within the general field of coastal engineering at the Technical University of Denmark (DTU), Department of Civil and Mechanical
-
include developing efficient code in Python and Julia to perform numerical optimization of control fields that govern the evolution of the photonic quantum information processor. This includes adaptation
-
academic level equivalent to a two-year master's degree. Demonstrated competence in programming with Python and working on Linux based platform is essential for this position. Further, we are looking for a
-
proficient in ROS/ROS2, Python and/or C++/C# Knowledge and/or experience within one or more of the fields of acoustic sensing, hydrodynamics, and machine learning is a plus. You have strong communication
-
areas: Scientific programming using Python Data analytics and machine learning techniques Wind energy systems, operations, or related topics In addition, you should be able to work efficiently as part of
-
prior experience in at least three of the following areas: Python programming Develop LLM-based tools to automate data connector generation for data ingestion. Design and implement a multi-layered storage