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We are looking for three PhD Researchers in the SOWAMA project in Uganda. Are you fascinated by transdisciplinary research and innovative inclusive approaches to explore complex social-ecological
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seek a candidate who is excited by rigorous statistical mechanics and data-driven modelling, and who is eager to use these approaches to understand how complex biological functions emerge from
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contribution to solving complex technical-social issues, such as energy transition, mobility, digitalisation, water management and (cyber) security. TPM does this with its excellent education and research
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operate. The complexity and size of indoor optical systems pose challenges in scalability, power consumption, and maintenance. While wireless networks present a viable solution for indoor environments by
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, antimicrobial resistance, and ideally metagenomics or microbial genomics. Quantitative, statistical & bioinformatics skills Experience analysing complex longitudinal datasets, proficiency in R and/or Python, and
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microswimmers/microrobots that can move and interact autonomously in 3D environments, mimicking the complex dynamics of microorganisms in fluids. Living systems such as bacteria or algae exhibit remarkable
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descriptive and association studies, complex systems analyses, automated extraction data analysis and methods-needs matching Your PhD position is part of the Academic Research Network HTA, a collaboration
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be modeled as thermo-dynamic open system in which different processes are simultaneously active, including the flow and mixing of grease as a complex semi-fluid, and grease degradation. The candidates
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to tackle social challenges. At the Faculty of Science, scientists and students work on fundamental and complex societal issues for a sustainable, healthy and just future. From forest fires to big data
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of extracting reliable structural and logical information from complex semiconductor architectures under realistic imaging constraints. Specifically, the researcher will focus on the following three main tasks:(a