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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
environment that provides equal opportunities. We are convinced that diverse teams and a variety of perspectives enrich our work and our daily collaboration. In a continuous process of learning and reflection
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international collaboration partners Support and administer internal web and Linux servers Your Profile Academic degree (master's and Ph.D.) with a background in computer science, bioinformatics, physics
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 3 months ago
a variety of perspectives enrich our work and our daily collaboration. In a continuous process of learning and reflection, we aim to ensure that all our employees can be themselves and feel a sense of
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this data is needed to process the application. Submitting an application General information on the application via DAAD portal Click on 'Application portal' at the bottom of the page to go to the DAAD
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identity, religion/belief, age and physical characteristics. We also promote an inclusive working environment in which everyone can fully develop their own talents. Anyone who has been recognised as severely
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of its employees. Therefore, we welcome applications from talented people, regardless of gender, cultural background, nationality, ethnicity, sexual identity, physical ability, religion and age. People
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opportunity to learn the process and challenges of drug discovery from the inside, including additional training and mentoring program. In addition, benefit from the rich packages for employee benefit. Our most
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in close cooperation with theory. An interest in modern methods of data analysis is therefore highly welcome. The required qualifications include a PhD in Chemistry, Physics or Materials Science, as
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, Geosciences, Environmental Sciences, Physics or Mathematics (plus significant work experience in the field can also qualify) Understanding of hydrological processes Experience in statistics and data-driven
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of the application process. As part of your application for a position at the Technical University of Munich (TUM), you will submit personal data. Please note our data protection information in accordance with Art. 13