74 machine-learning-phd-in-netherland Postdoctoral research jobs at Technical University of Denmark in Denmark
Sort by
Refine Your Search
-
, TESPy, or similar libraries. Strong programming skills in Python or MATLAB, including use of scientific libraries (e.g., NumPy, Pandas, Matplotlib, etc). Experience with machine learning (e.g., Scikit
-
experience in developing software for processing SURE and ULM data Have a desire to advance the field and help PhD students learn We offer DTU is a leading technical university globally recognized
-
supply, cooling, or shielding/activation. Proficiency in neutronics codes (OpenMC, MCNP, Serpent) or thermo-mechanical tools (ANSYS, COMSOL); or capacity for rapid learning. Ability to maintain disciplined
-
materials discovery, materials processing, and structural analyses. We also focus on educating engineering students at all levels, ranging from BSc, MSc, PhD to lifelong learning students. We have about 300
-
regional crisis both in terms of abundance, diversity, and biomass. Importantly, insects form a natural treasure chest for studying animal development, learning, and behaviour, controlled by receptors
-
BSc, MSc, PhD to lifelong learning students. We have about 300 dedicated employees. Read more about us at www.energy.dtu.dk. Technology for people DTU develops technology for people. With our
-
(e.g., based on physiological signals or direct inputs from occupants) and developing algorithms, including machine learning methods. The work will include statistical modelling, data-driven modelling
-
digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design
-
, “Mathcrete”, and offers a unique opportunity to collaborate closely with another Postdoc specializing in 3D nano image reconstruction and modelling tools development, as well as other PhDs and Postdocs within
-
Job Description These days, the inner workings of molecules and materials can be probed and modelled by advanced simulation tools on modern computer architectures. However, the routine applications