Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Universidade de Coimbra
- CNRS
- Cranfield University
- DAAD
- Delft University of Technology (TU Delft)
- Duke University
- NTNU - Norwegian University of Science and Technology
- Technical University of Munich
- University of Cambridge
- ; Brunel University London
- ; University of Cambridge
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- COFAC
- Delft University of Technology (TU Delft); 3 Oct ’25 published
- Delft University of Technology (TU Delft); yesterday published
- ICN2
- ISGLOBAL
- Institut Pasteur
- Institute of Nuclear Physics Polish Academy of Sciences
- Leibniz
- Leiden University
- Leiden University; Leiden
- Ludwig-Maximilians-Universität München •
- NTNU Norwegian University of Science and Technology
- Nature Careers
- Stockholms universitet
- Susquehanna International Group
- Universitat de Barcelona
- Universiteit van Amsterdam
- University of Adelaide
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); yesterday published
- University of Bremen •
- University of California Irvine
- University of Nottingham
- University of Southern Denmark
- University of Texas at El Paso
- University of Twente
- University of Warwick;
- Wageningen University & Research
- Wageningen University and Research Center
- Zürcher Hochschule für Angewandte Wissenschaft ZHAW
- 32 more »
- « less
-
Field
-
respect to AM printing parameters. The project will also be able to generate suggestions for the design of new alloys to be produced via additive manufacturing as well as advise on protective coatings. By
-
of manipulation tasks) as well as observability (to guarantee an accurate global state estimation) and robustness against modeling errors. Another idea is hinging on the concept of closed-loop sensitivity
-
lack a direct correlation with process parameters, limiting their ability to predict temperature fields under varying process conditions. The transferred arc energy distribution becomes particularly
-
/or modelling is essential. Experience in machine learning, computer vision, and computer programming is desirable. In addition, applicants should be highly motivated, able to work independently, as
-
various objectives (model tuning), such as energy indicators (e.g., efficiency, exergy analysis) or parameters affecting investment costs (e.g., heat exchanger pinch, fluid flow rates), in order to build a
-
equivalent) in Media Studies, Digital Humanities, Visual Culture, Human-Computer Interaction (HCI), Cognitive Psychology (with a focus on perception or sensory studies), Immersive Media / Virtual Reality
-
the proportion of individuals within different ethnic groups classified as high risk. - Develop multistate survival models (MSM) to estimate transition parameters between cancer progression states across risk
-
experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter
-
experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter
-
strategies, fine-tune parameters, and respond to anomalies as needed Education. Participate in a comprehensive education program and receive personalized mentorship from senior professionals to accelerate