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Sensing, Applied Mathematics, Statistics or a closely related field; a strong methodological background covering spatial sampling, design-based estimation, model-based prediction (geostatistics, machine
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Your job Are you passionate about spatial analysis and statistics of environmental properties, and are you not afraid of a challenge? Then this vacancy is just right for you! Your research will
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experiments and processing geological samples A theoretical background in thermodynamics, mineralogy, petrology and economic geology Statistics and coding experience A willingness to experiment with new data
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, fundamentally limiting their ability for spatial reasoning, temporal logic, and operating in low-resource scenarios, which leads to shortcut learning and hallucination at test-time. This PhD project focuses on a
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are critically hindered by the language-focussed optimization of current foundation models, fundamentally limiting their ability for spatial reasoning, temporal logic, and operating in low-resource scenarios
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afraid of combining neurobiology and chemistry. You have good statistical skills and experience with analyzing big data (e.g. RNA-seq, spatial transcriptomics). You like to work in a diverse setting and
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, stress or endocannabinoid system. You like a challenge and are not afraid of combining neurobiology and chemistry. You have good statistical skills and experience with analyzing big data (e.g. RNA-seq