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foundations. Candidates should possess an exceptional academic record and a strong mathematical background. Experience conducting large-scale computational experiments (e.g., multi-GPU systems) is advantageous
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/equivalent) for conducting in vivo experiments in mouse models. Expertise in the genetic modification of immune cells (e.g., viral vectors, CRISPR) is highly desirable. Experience with in vitro models (e.g
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analyze how these factors influence vote choice, and how the role of quality in elections can be strengthened. Empirically, the project combines surveys, survey experiments, and text-as-data methods.
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. Building on our experience in cell-fate tracking tracking and studying various stages of the metastatic cascade, we set out to follow tumour cell-niche interactions to reveal how distant sites shape cancer
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cells within distinct metastatic niches. Building on our experience in cell-fate tracking tracking and studying various stages of the metastatic cascade, we set out to follow tumour cell-niche
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foundation. Candidates are also expected to have strong coding and implementation skills, with the ability to run large-scale experiments. While research experience is advantageous for PhD applicants, it is
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, aligning AI systems with complex human values, and building self-improving agents capable of autonomous learning. Our work combines cutting-edge experimentation – spanning RL, meta-learning, and robust
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these gaps by combining field observations, experiments, and macroecological analyses using so far untapped global monitoring data across all populated continents. The successful candidate will focus
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plant breeding technologies. Using a mixed-methods approach (qualitative, quantitative, and experimental), the PhD will help map current debate, decode the moral “logic" beneath disagreement, and generate
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niches. Building on our experience in cell-fate tracking tracking and studying various stages of the metastatic cascade, we set out to follow tumour cell-niche interactions to reveal how distant sites