Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
and have proven experience in e.g. Python, Matlab, JAVA, C#. You can present and communicate your ideas with AND without LLMs. You get excited about implementing your ideas. You are a team-player: you
-
Reality and/or physiological sensing Programming skills for research prototypes and data-driven systems (e.g., Python, Unity, web technologies, or similar) Experience with user studies and experimental
-
up to 2050. Quantifying the environmental impacts of primary and secondary steel production under different future scenarios, including climate change, energy and resource use, water consumption, waste
-
energy/water balance, evapotranspiration, thermal comfort, heat-health interactions. Solid programming and data analysis skills (e.g. Python, R, GIS). Willingness to travel for validation-related fieldwork
-
deployment scenarios to evaluate future steel production pathways and circular economy strategies up to 2050. Quantifying the environmental impacts of primary and secondary steel production under different
-
models, machine learning, infrastructure management datasets, simulation-based decision support, multi-agent systems, or reinforcement learning. Good programming skills, preferably in Python, and
-
modelling is an advantage. Strong quantitative skills and interest in statistical modelling, or simulation approaches. Experience with R, STATA, Python or similar software. Ability to work independently and
-
research projects. Here's how you will make a difference As a junior researcher within the Digital Life Research Group, you will contribute to the design, development and evaluation of Embodied AI
-
development, and co-design in interdisciplinary research projects. Here's how you will make a difference As a junior researcher within the Digital Life Research Group, you will contribute to the design
-
computational biology and not afraid of challenges. When the data or model outputs do not make any sense, you dig deeper! You communicate openly and thrive in a collaborative environment across different