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experiences in working with remote sensing data, climate data and programming skills (R or Python) are desired. You enjoy working in an international team and you are keen on developing a key set of research
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Access to training, workshops, and career development opportunities Enrolment in the GAUSS graduate program (University of Göttingen) Supervision by an interdisciplinary Thesis Advisory Committee
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part of the work, the applicant (m/w/div) is expected to participate in the lnstitute's structured doctoral program in order to successfully complete the dissertation. The initial appointment is for one
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experience in Python or similar programming languages, experience in Linux/Unix computer environments, and experience in statistical analysis and visualization very good written and oral communication skills
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programs, the university unites the natural and engineering sciences with the humanities, social sciences and medicine. This wide range of disciplines is a special feature, facilitating interdisciplinarity
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Responsible planning and implementation of experiments within the framework of the scientific project plan Develop and establish new methods in the laboratory to enable new research approaches Isolation
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skills in agile project management and the application of workshop methods Good knowledge of object orientation and at least basic knowledge of UML Knowledge of minimum one programming language (e.g. C
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way of working and quick comprehension; ability to quickly familiarize yourself with new concepts Enjoy scientific work in a cross-domain context. Good knowledge of programming languages (e.g. Python, R
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access to internal and external networks, training opportunities, and conferences Individual development plans, mentoring programs, and support from experienced specialists Open, team-oriented work
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) mathematics or related fields - at least basic programming skills, such as Matlab/Python - good communication skills and interest in interdisciplinary research/geophysical applications - good English skills