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for the position. A solid background in synthetic organic chemistry is mandatory. The successful candidate must have experience with a broad range of synthetic and analytical methods. Experience with design of
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in glacier-fed distal lakes analysed with ultra-high-resolution scanning methods. These results will be compiled into a record of glacier retreat from the LIA to the present within the Scandinavian
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for robust semantic alignment and interoperability across distributed ecosystems. The SecondPass project addresses these challenges by advancing machine learning (ML)-based and data-intensive methods
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methods. These results will be compiled into a record of glacier retreat from the LIA to the present within the Scandinavian Mountain region at human-relevant scales. Qualifications and personal qualities
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conditions and early life development of Atlantic salmon, choice of methods and suggested experimental designs will be central for the evaluation. Contact For further information about the position, please
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of excellence. The main focus will be on developing novel voice and language-based natural language processing (NLP) methods for languages with less data than ideal for the development of cognitive tests
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interoperability across distributed ecosystems. The SecondPass project addresses these challenges by advancing machine learning (ML)-based and data-intensive methods for the scalable design, processing, and
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of hydrocarbon reservoirs and CO2 storage. Characterization of aquifer conductivity, ion and gas composition are needed to improve subsurface management, and the potential of critical element extraction from
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in-depth qualitative analyses but also mixed-methods approaches, possibly enabled by emerging AI-enhanced techniques. The PhD project should overall contribute to a better understanding collaborative
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the so-called multimodal turn, including collaborative and reciprocal research, experimentation with storytelling, expansion of methods beyond traditional text-based ethnography, and evolving public roles