Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
researchers. The successful candidates for these positions will join our team for further advances in this area and either focus on defining a climate breeding objective or developing a climate index. The work
-
. The project’s main objective is to optimize the RNA delivery platform through in vitro screening models, followed by in vivo safety and proof-of-concept studies. Your job responsibilities As Postdoc your position
-
such as data scarcity, cultural sensitivity, inclusivity, and the need for robust preference optimization methods that go beyond standard fine-tuning. Key research objectives include: Developing efficient
-
project position is the design and numerical simulation of quantum-dot-based single-photon sources using advanced optical simulation tools. The objective of the PhD2 project is the microfabrication
-
MOFs and their hybrid materials. The primary objective is to explore the fundamental structure–property relationships that govern MOF vitrification and liquid-phase behavior, and to develop new MOF-based
-
and operation of building HVAC systems, these technologies support both energy efficiency and flexible demand objectives. Model predictive control (MPC), which involves physics-based building energy
-
offered in this context, with the objective of modelling, coding, and field-validating a new mechanistic analysis tool for pavements containing fungal-bound granular layers. The research will focus on urban
-
candidate is expected to contribute to the overall objectives of the project by being involved in the project management, data collection, and data analysis. The candidate is also expected to contribute
-
objectives: excellence in research, high-quality teaching, and societal impact. The Department of Culture and Language values a diversity of competences and academic profiles, and applicants must present a
-
standard fine-tuning. Key research objectives include: Developing efficient algorithms: exploring and designing training strategies (e.g., supervised finetuning, reinforcement learning, or new alignment