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spanning the entire breadth of the sciences, supported by extensive international networks and world-class facilities. This is an opportunity to work with a world class University that undertakes cutting
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element method, wave propagation analysis, inverse problem, machine learning (ML), and artificial neural network. Strong background in research publications in the desired field. Experience mentoring other
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. Demonstrated ability to work collaboratively in a multidisciplinary research team and proven ability to work independently with minimal supervision. Demonstrated written and verbal communication skills which
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. The center hosts a vibrant research community of PhD students and postdoctoral researchers. DigiWells promotes a multidisciplinary and innovative environment. Depending on research interests, the PhD fellow
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. Alongside their research, Fellows engage in a series of leadership development activities, gain an in-depth understanding of the U.S. health care system and policy landscape, and build a robust network for
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(this overlaps with the former themes as 2D and 3D vision is often integrated with language). Related papers by the Vision-CAIR members Theme A : Aligning Latent and Image Spaces to Connect
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proven ability to work independently with minimal supervision. Demonstrated written and verbal communication skills which will enable the appointee to prepare materials for scholarly and other audiences
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quantum technology, and it will be a great advantage to have a candidate who can build networks and contribute to this community. We are also looking for a candidate who can strengthen the department’s
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in writing grant applications and working with machine learning approaches such as MaxEnt, random forest, neural network. Experience using Geographical Information Systems and ecological niche modeling
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requires strong communication skills in German, a high level of commitment, independent work and the ability to successfully integrate into an interdisciplinary team. What we offer The Leibniz Institute