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quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team orientation excellent spoken and written English and the
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subjects, high interdisciplinary desire to learn, and willingness to cooperate, openness for internationalization and diversity, very good verbal and written English communication skills (good command
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with data from animal communication can be acquired on the job but require willingness to learn. The ability to work in a diverse, multi-national team is required. The project offers a cohesive and
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with scientific programming (e.g., MATLAB, LabView) is advantageous Knowledge of scientific instrumentation and electronics is desired Experience with (or willingness to learn) stop-flow spectroscopy and
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hands-on experience with data from animal communication can be acquired on the job but require willingness to learn. The ability to work in a diverse, multi-national team is required. In particular
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facilities to doctoral researchers aiming for successful careers in science. Our comprehensive curriculum allows our students to tailor their learning to their interests, requiring them to earn 25 ECTS through
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on an equal and inclusive work culture. How to apply? Please send your application (a CV, a cover letter including your research interests, and two references, certificates of academic achievements, list
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 30 days ago
provides further opportunities for training and networking. They will be working within a vibrant community of research degree students and researchers at both institutes. The post-holder must have a
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groups to apply. Applications should be sent by e-mail, together with significant documents (Your application should include a cover letter, your CV, a copy/scan of your degree and course transcripts
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, plenty of hands-on training opportunities, annual winter school, and workshops for transferrable skills. Application Please submit the following documents (max 3 MB) via e-mail (siowwoon.ng@fau.de) with