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in the project, including experts in genetics, genomics, rhizosphere biology, and shoot biology to use a whole-plant-systems approach. Your tasks: Root anatomical phenotyping using imaging and
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Max Planck Institute of Immunobiology and Epigenetics • | Freiburg im Breisgau, Baden W rttemberg | Germany | about 17 hours ago
typically there are English equivalents as well. The institute itself is very international, and English is the everyday working language. Programme duration 8 semesters Beginning Winter semester Application
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developing a machine learning (ML) algorithm for the automated analysis of the above-mentioned mass spectra. Desirable: - knowledge in the field of Planetary Sciences - very good written and spoken English (C1
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), Max Planck Institute for Dynamics and Self-Organization (MPI-DS) Teaching language English Languages English Full-time / part-time full-time Programme duration 6 semesters Beginning Only for doctoral
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dissertation is often written in English. Mode of study Less than 50% online Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline No application deadline Tuition
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English Languages It is possible to study the whole programme in English. German-speaking students may take elective modules offered in German if applicable and if relevant for their research topics
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) Teaching language English Languages English Full-time / part-time full-time Programme duration 6 semesters, 8 semesters Beginning Only for doctoral programmes: any time Application deadline Please see the
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Postdoc (f/m/d) Regenerative Medicine Medical Faculty Tübingen, Institute of Vegetative und Clinical
exams in German Opportunity to build an independent research group depending on qualifications Your profile Completed PhD in Life Sciences (e. g., Biology, Biochemistry, Pharmacology, Molecular Medicine
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experimental planning, bioinformatic consulting, and in-depth data interpretation, where applicable Your qualifications Master’s degree or PhD in Bioinformatics, Computer Science, Applied Statistics, or a
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successfully completed a university degree (Bachelor`s or Master`s) with a focus on information technology such as computer science, scientific programming or comparable subjects such as (techno)mathematics