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Field
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. You have: A PhD in Computer Science, Machine Learning, Applied Mathematics, Scientific Computing, Data Engineering, or a closely related field. Demonstrated ability to conduct high-quality academic
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to the Viking past over time. The ideal candidate will either have a PhD in Old Norse Viking Studies and have engaged in their research with reception, and particularly with branding, marketing and
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, Physics or a closely related field. Completed PhD in one of the above or a closely related field. Strong background in Machine Learning and Artificial Intelligence, including interest in alternative
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Investigator. To become familiar with the publication process. To acquire generic and transferable skills (including project management, business skills and postgraduate mentoring/supervision). To engage in
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students, and generate reports or publications. Qualifications Required Qualifications: -PhD (must have defended thesis) -NK cell biology and gene editing. -Experience with CRISPR editing also required
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for the efficient training and fine-tuning of machine learning models. The postdoc will closely collaborate with researchers at the Dutch Language Institute (and Radboud University Nijmegen). Selection Criteria PhD
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
. Dr. Helmut Grubmüller, invites applications for a PhD Student or Postdoc (f/m/d) for the project Theory and Algorithms for Structure Determination from Single Molecule X-Ray Scattering Images Project
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onderwijs – tto) schools with a linguistically diverse student population. We will investigate how inequalities can be reduced and learning can be promoted through Functional Multilingual Assessment (FMA): a
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/patientcare/traumaccac1.html (link is external) How to Submit Application Materials: To apply, please submit the required application materials to Leslie Johnson (lesliejo@stanford.edu (link sends e-mail) ) and
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develop and evaluate semi automated machine learning techniques for content analysis adapted to handwritten documents and early printed books. These approaches will build upon existing optical character