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to identify multiple diseases using one blood sample or medical image. These tests can find diseases early, before symptoms develop. However, they often produce false positives, indicating disease when none is
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, logistics, and digitalisation. The PhD candidate will develop digital factory models, simulations, and planning tools that support the design and operation of circular AM-enabled factories. Crucially
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cancer prevention and improved survivorship. The project advances a paradigm shift: transport is no longer a source of negative impacts – such as safety issues and adverse health effects, but rather a
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, actuation, and control. The research includes the design, fabrication, and experimental validation of micro-scale robotic platforms, integration of optical and imaging-based feedback, and development
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packages (WPs): Six WPs focus on disciplinary perspectives in psychology, education, computer sciences, law, and philosophy. Four WPs address citizen-empowerment-scenarios (CES) in healthcare, mobility
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research. An interview (or two) comprising of a scientific presentation followed by discussion will be part of the selection procedure. Following a pre-selection, short-listed candidates will likely be
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-world applications. Your main tasks will include to: Developing (and derivatizing) polylysine-coated microfluidic channel capable of signal processing. Demonstrating programmable release of sacrificial
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sciences, law, and philosophy. Four WPs address citizen-empowerment-scenarios (CES) in healthcare, mobility, public governance, and healthy living. Each PhD position is embedded in one work package and