20 machine-learning-phd "The University of Auckland" research jobs at UNIVERSITY OF HELSINKI
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. The associated strong willingness to adapt, diversify, and learn is emphasized by the required involvement in the supervision of PhD candidates who conduct co-supervised multidisciplinary research in the FAME
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, this project will focus on ensuring that the computational approaches measure what they’re supposed to measure. This includes fine-tuning machine-learning methods to capture different types of change, as
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skills in English (oral and written) are essential, as are enthusiasm for the topic, strong motivation to learn and adapt new skillsets, and readiness to work with diverse teams. Position details
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of Helsinki (Finland) PhD: PhD in Digital Humanities or Intellectual History Main supervisor: prof. Mikko Tolonen (University of Helsinki, Faculty of Arts, Digital Humanities) Second supervisor: prof. Eetu
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the findings to clinical data using machine learning. The postdoctoral fellow will perform studies on the metabolism of healthy intestinal cells and tumour initiating cells using state-of-the-art mouse models
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mitochondrial function and dysfunction. An ensemble of multi-scale computational approaches (molecular dynamics simulations, quantum chemistry, machine learning, etc) are applied to study the mechanistic aspects
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by access to 300-kV cryo-electron microscopes for data collection at international facilities. About you you are ambitious, goal-oriented, collegial and motivated to tackle challenging new projects PhD
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may be utilized to tune translation. We are looking for a skilled doctoral researcher (PhD student) that will work in a vibrant and international research environment as part of a Research Council of
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– an international community united through bold thinking, science, research, and learning, with over 30,000 students and 8,000 employees. The University of Helsinki is the largest university in Finland and one
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Job related to staff position within a Research Infrastructure? No Offer Description We are recruiting a team of researchers (four postdoctoral researchers and a PhD researcher) to collaborate in Dr