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initiative to manage multiple tasks and competing deadlines, along with proven experience in program planning and review, including the development of project documentation and the improvement of processes and
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prediction to systems that reason, plan, interact and act in the physical world. This PhD addresses efficient long-horizon task execution in Physical AI—complex tasks needing sequences of decisions, subgoals
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diseases, including Alzheimer’s disease, frontotemporal dementia and ALS, as well as other brain disorders such as multiple sclerosis. The department works closely with the Netherlands Brain Bank, providing
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DD sequences into HR-type schemes, and verifying coherence via fringe contrast and Allan deviation. This other objective is to assess robustness against realistic technical noise. To serve that purpose
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research group is based at Scilifelab Campus Solna, an interdisciplinary life-science centre, and works to combine nucleic acid nanotechnology with selection and sequencing address several biomedical
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strongly aligned with industrial decarbonisation and real-world deployment. Number Of Awards: 1 Start Date: 1 October 2026 Award Duration: 4 years Application Closing Date: 22 July 2026 - NOTE: This advert
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is seeking to make an appointment in one of the following areas aligned to strategic research and teaching priorities: Design with a focus on space engineering Digital manufacturing, sustainable
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single-nucleus RNA sequencing (scRNA-seq/snRNA-seq) is an advantage. Knowledge of data analysis methods, including statistical software and transcriptomic analysis pipelines is an advantage. Excellent
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observations of successive phenological stages, collection of plant material, whole-genome DNA sequencing, genotyping using DArT-seq and RAD-seq, and molecular and bioinformatic analyses, including differential
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sequencing data generation and interpretation Bioinformatics and statistical analysis, to characterize genome evolution, mutation processes, and adaptation patterns The PhD candidate will progressively