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                Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally 
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                publish findings in peer-reviewed journals Your Profile: A master’s degree in chemistry, materials science, chemical engineering, or a related field Desirable background in electrocatalysis and inorganic 
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                Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. TUD has established the Collaborative 
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                For being part of the selection process is needed: University degree (Master/ Dipl. (Univ.)) in a natural science, materials science, or engineering discipline good written and spoken English skills Following 
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                -reviewed journals Your profile For being part of the selection process is needed: University degree (Master/ Dipl. (Univ.)) in a natural science, materials science, or engineering discipline good written and 
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                month Your profile Excellent master’s degree in physics, materials science, engineering or chemistry Very good English knowledge We are committed to employing more handicapped individuals and especially 
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                Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally 
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                : Master’s degree in a scientific or engineering subject with excellent grades; enthusiasm for neuroscience and brain mapping; openness to new methods such as deep learning. Offer: Funded PhD position (TV-L 13 
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                Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. For TUD, diversity is an essential 
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                experiments Develop, optimize cellular assays and CRISPR engineering using human iPS stem cell models and differentiation systems (2D or organoids) Perform functional validation of candidate hits using