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forward to receiving your application! Your work assignments Our research projects focus on distributed sensing, hardware-efficient signal processing, robustness and resilience, and communication-efficient
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analyses the significance of inherited wealth across multiple generations. Using Sweden's wealthiest families at the beginning of the twentieth century as its point of departure, the project has
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within a Research Infrastructure? No Offer Description We are now looking for a PhD student in machine learning with a focus on generative modeling and data-centric strategies for data-efficient machine
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. The primary objective of this PhD project is to develop adaptive statistical models for marked spatial and spatio-temporal point processes. Many real-world systems exhibit substantial spatial heterogeneity and
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(at least 240 ECTS credits, of which 60 ECTS credits are at an advanced level). Experience in theoretical and experimental modeling as well as signal processing, preferably with applications in biomedical
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and eager to acquire the relevant techniques over the course of the PhD. Solid working knowledge of cell wall integrity signalling in plants. Experience in RNA isolation from diverse organisms and
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polymerization processes that are regulated by cellular signals, disease markers, and local microenvironments. The work will involve developing and evaluating material formation in relevant cell models (e.g