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Field
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molecular cell identification and single-/two-photon imaging techniques. You will work at the Leibniz Institute for Neurobiology (LIN) with Prof. Stefan Remy and in close cooperation with Dr. Janelle Pakan
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, the aim of this project is to develop and validate an experimental paradigm that can describe the dynamic processes underlying C2 agility and to characterise the situational factors by which C2 agility can
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Fellowship (4YF) program will ensure UBC's best PhD, DMA, and MDPhD students are provided with financial support of at least $18,200 per year plus tuition for up to four years of their doctoral studies
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into an interdisciplinary research environment given by the university institutes and the cooperation partners in industry and science. The advanced Manufacturing Engineering paradigm for next generation factories is
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organizations and typically informs important decisions in healthcare, governments and finance. Yet, while AI has demonstrated a high impact on applications on text and images, proportional progress on structured
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bioinformatics, engineering physics, molecular biology, computer science, or a related field. You should have strong programming skills (e.g., in Python or R) and a keen interest in applying data-driven methods
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Fellowship Programme (EVOLVE – EVOLVE Fellowship Programme), an initiative by six world-leading research institutes of two universities in The Netherlands (University of Groningen, Leiden University) to study
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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | about 11 hours ago
, psychology, medicine, neurobiology, computer science, engineering, mathematics, physics, neuroimaging, biochemistry, or related fields. The Master’s degree should have been awarded by an internationally
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interactions, as well as establishing fluorescence lifetime imaging microscopy (FLIM) approaches and analysis pipelines to perform non-destructive monitoring of neuronal function, DAMs, and multiplexing
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of generative models by introducing a training regime inspired by the Thinking, Fast and Slow paradigm. Recently, the use of RL has been shown to significantly improve the performance of LLMs. The goal