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decision making. Successful candidates have a strong background in data science and mathematical neuroscience/psychology and the application of advanced data analysis techniques to experimental behavioral
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, theoretical and numerical improvements of FLEXPART, development of new application fields for the model, or novel applications of the model in research fields that we already cover (e.g., analysis of
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teaching of courses as defined by the collective agreement. Supervise students. Collaborate with national and international partners. Support the application process for projects and securing third
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intelligence in psychotherapy. Knowledge of programming languages is a plus. Psychotherapy training (whether currently in progress or completed) is a plus. Work experience with clinical or mentally distressed
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, demonstrated through publications appropriate to your career stage. Solid programming skills (e.g., Python) and experience with astronomical data processing. Fluency in English (spoken and written). A category
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willingness to read lectures and further develop academic courses independently IT skills (e.g., programming skills in R, experience with the usage of OS from mass spectrometer manufacturers) Excellent
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should particularly include invasion biology, vegetation science, biodiversity change, macroecology and statistical modelling. We expect applicants to have excellent programming skills, preferably in R
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, which means: You are involved in our current research projects and scientific studies in the domain of environmental neuroscience. This requires programming of experiments with human participants
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involved in our current research projects and scientific studies in the domain of environmental neuroscience. This requires programming of experiments with human participants, typically in computer
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department, International publications and lectures, Project application and acquisition of third-party funding, Preparation and completion of a habilitation (ready for publication) or an equivalent