164 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions in Netherlands
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new knowledge and critically assess approaches that integrate scientific insights with artistic research to address climate justice. JUST ART PhDs will study and develop concrete cases to learn how art
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machine-learning approaches (e.g. UMAP). Investigate the effects of deep brain stimulation on speech production in relation to individual connectivity profiles. Coordinate closely with clinical
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carbon dioxide emissions. Mathias Peirlinck Mechanical Engineering, Delft University of Technology Mathias Peirlinck creates 'digital twins' of the human heart: personalised computer models that map
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, or a closely related field; Demonstrate a strong interest in and ability to teach and facilitate learning in the field of personal development and professional development, including skill development
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on bringing data, machine learning and statistical modeling into the products that we build for our clients or internal users. The data scientists in INGA furthermore have a strong desire to keep up with and be
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their learning and develop reading comprehension skills? Are you eager to combine learning sciences research with classroom innovation? Then this PhD position may be of interest to you. Job description The Erasmus
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become better versions of themselves. At BMS we do this through academic education, fundamental science and societal problem-solving. From Bachelor’s or Master’s degrees and Professional Learning
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transport proteins in lipid membranes. Furthermore, the ultimate long-term goal is to integrate these cells in a dialysis machines. The objectives for this position are to: Formulate synthetic cells with
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Liefvoort. For questions about this particular research project, please contact Cécile de Morrée. Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about
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layers across heterogeneous platforms. Ideally you would have familiarity with deploying or supporting AI and machine-learning workflows, including large models, large network analytics, or multimodal data