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). Potential other methods include laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS), Raman spectroscopy, time of flight secondary ion mass spectrometry (ToF-SIMS), electron microscopy (EM
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microbial genomics, atomic force microscopy combined with vertical scanning interferometry (ATM-VSI), x-ray diffraction (XRD). Potential other methods include laser ablation inductively coupled plasma mass
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will be adapted to the candidate’s background and the evolving needs of the center. Possible directions include the application of rock physics models, Bayesian inversion methods, and machine learning
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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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physics models, Bayesian inversion methods, and machine learning algorithms in the electromagnetic context. Qualifications and personal qualities: Applicants must hold a master’s degree (or equivalent) in
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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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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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will make breaking waves atop a turbulent flow, forced by wind, and using a suite of experimental methods simultaneously, study how particles are carried off. This is a complex experiment to be
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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