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, and a commitment to improving animal health and welfare. Experience in cell biology, vascular biology, or molecular techniques would be advantageous, but above all, we are looking for someone with drive
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engineering stimulated by recent developments in machine learning, the project investigates how runners’ shared social identity can influence their movement synchrony, physical load, and interaction with
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The project focuses on the experimental realization and study of artificial microswimmers/microrobots that can move and interact autonomously in 3D environments, mimicking the complex dynamics
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improved using machine learning techniques. The developed techniques will be applied to metrology of semiconductor samples. Job requirements You are an enthusiastic candidates with a ‘drive’ for applied
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human-AI interaction. The two PhD positions bring complementary strengths to this project. The first position explores how everyday digital interaction, such as typing and mouse movement, can reveal how
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and trends, quantitative analysis, pharmacological effects, and the identification of biomarkers of intoxication and cause of death. The work will involve analysis of clinical and forensic samples using
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this pathogen to cause infections, survive attacks by innate immune cells (macrophages and neutrophils), and develop resistance to antifungal agents (see selected publications below). The PhD student will learn
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solutions that help move the world forward. Faculty Applied Sciences With more than 1,100 employees, including 150 pioneering principal investigators, as well as a population of about 3,600 passionate
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PhD Position - Operando X-ray Characterization of Catalytic Interfaces for Chemical Hydrogen Storage
). This involves recording “molecular movies”, in which experimentally atomically resolved motion pictures of the reactions are recorded, including the structural and chemical identification
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extrachromosomal DNA (ecDNA) circular DNA elements that drive oncogene amplification, intratumour heterogeneity and therapeutic resistance across many aggressive solid cancers. This PhD project will help develop