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biochemical techniques to study details of antigen recognition and effector functions of autoantibodies Engage in data analysis and collaborate with computational scientists. Your qualifications: MSc
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Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | about 16 hours ago
/ part-time full-time Programme duration 6 semesters Beginning Winter and summer semester Additional information on beginning, duration and mode of study Programme start for our annual topic-specific
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DrugS offers talented young scientists a three-year structured PhD training programme in the field of drug research related to biomedical disciplines. BIGS DrugS students work on their individual PhD
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institution. The “Friedrich List" Faculty of Transport and Traffic Sciences comprises more than 20 Chairs with numerous scientists and research projects on all modes of transport and mobility needs
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/index_eng.html . DASHH is one of the six Helmholtz Information & Data Science Schools that promote young data scientists in all research areas. Course organisation The DASHH interdisciplinary PhD research projects
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particular, geomagnetism) and the development of corresponding numerical methods. We offer the opportunity to work in a small interdisciplinary research group consisting of mathematicians, computer (geo
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have a strong desire to work on plant micronutrient uptake mechanisms of crop plants. You are a highly motivated scientist with the commitment to achieve scientific excellence. You have a strong team
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researchers from different disciplines. You have proficiency in data analysis and statistical software packages. You have problem solving skills. You fit to us: If you have a strong interest in plant physiology
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Biomedical Research School (HBRS). BIOMEDAS is directed to students who are interested in combining disciplinary knowledge with the skills of a data scientist and working at the interface of bioinformatics
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excellent communication skills and will to collaborate with researchers from different disciplines. You have proficiency in data analysis and statistical software packages. You have problem solving skills