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-MATURE) may be the opportunity you’re looking for! The DFG International Research Training Group (GRK 2803)Scalable 2D-Materials Architectures (2D-MATURE): Synthesis and Processing, Characterization and
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Carl von Ossietzky Universität Oldenburg | Oldenburg Oldenburg, Niedersachsen | Germany | 18 days ago
at the University of Oldenburg and involving national and international partner institutions. As a diverse and international team of scientists from biology, physics, chemistry, computer sciences and social sciences
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. Applicants should have experience with tissue culture and standard molecular biology methods. Basic knowledge of computer programming (using the R software environment) and hands-on experience working with
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incurred in attending interviews cannot be reimbursed. Reference to data protection: Your data protection rights, the purpose for which your data will be processed, as well as further information about data
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teaching and therefore urges qualified women academics to apply for these positions. Equally qualified applicants with disabilities will be given preference in the hiring process. The University of Tübingen
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such as the NEPS. Potential research areas include (but are not limited to): Item response modeling of achievement tests Analysis of process data (e.g., response times) to enhance competence measurements
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operation Participation in project meetings. Coordination with internal and external partners Publication and presentation of research results in relevant journals and at international conferences Your
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are also eligible to submit nominations jointly with a researcher working at a Fraunhofer institute. For details of the nomination process please see the web page Information for nominators
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Your Job: At the Electrocatalysis department of Prof. Karl Mayrhofer, we offer a PhD position within the team Nanoanalysis of Electrochemical Processes. Lead by Dr. Andreas Hutzler, the team is
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equivalent) in computer science, data science, applied mathematics, physics, materials science, or a related field Prior experience in computer vision, deep learning, or signal processing; familiarity with