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white matter. The network aims to strengthen the full translational pathway, from understanding disease mechanisms and developing disease models to preclinical therapy testing, clinical readiness and
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ingredients, a process that is traditionally slow because each substrate–strain combination behaves differently. By applying machine learning to historical experimental data, we can predict high‑potential
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behaviour and to examine how these differences relate to learning in the classroom. A central aim is to translate insights from fundamental research on curiosity into educational practice. You will design and
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patients through focus groups to define meaningful indicators of defensive states and to ensure clinical relevance throughout the project. You will test proof-of-principle freeze-targeted interventions and
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use, and long-term crop management goals. While several algorithms have shown promising results in energy savings and crop yield, most of these methods have only been tested in simulation, and make use
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environments. Your job IThe Department of Developmental Psychology has a job opening for a PhD candidate in the field of neurodiversity and inclusive higher education. In this project, you will examine how
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virtual environments and software (e.g. Unity). Experience in conducting empirical research (e.g., experimental design, instrument selection, recruitment, participant testing, and report writing
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thermal interface material or by enlabling other heat dissipation pathways. As part of the research, you will synthesize the materials in the EKL cleanroom, create test structures and validate their thermal
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the inversion problem to reconstruct environmental properties using received signals from a variety of EM wave sourcies located in different positions. Propose and implement computationally efficient solution
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the EKL cleanroom, create test structures and validate their thermal performance and other relevant materials properties. The research will take place in the Electronic Components, Technology and Materials