20 computing-"https:"-"https:"-"https:"-"Max-Planck-Institute-for-Biology-Tübingen" PhD positions at DAAD
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available in the further tabs (e.g. “Application requirements”). Programme Description The DBU scholarship programme for PhD students aims to support young academics in the field of applied environmental
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available in the further tabs (e.g. “Application requirements”). Objective The programme aims at fostering strong, internationally oriented higher education systems in Southeast Asia with the capacity
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available in the further tabs (e.g. “Application requirements”). Programme Description International students holding a Master’s degree in (molecular) biology, (bio-)chemistry, physics, mathematics
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) and the German Academic Exchange Service (DAAD) since 2007. Under this CAS-DAAD joint programme up and coming young Chinese scientists from the University of Chinese Academy of Sciences (UCAS) and CAS
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Description KIT Graduate School Computational and Data Science (KCDS) is a graduate school at KIT Center MathSEE that offers an interdisciplinary training program for doctoral researchers in
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available in the further tabs (e.g. “Application requirements”). Objective The programme aims at fostering strong, internationally oriented higher education systems in Southeast Asia with the capacity
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, conversely, to use clinical observations to develop new research ideas. The aim is to deliver medically relevant benefits to patients and the general population. The BIH PhD Program contributes to the overall
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available in the further tabs (e.g. “Application requirements”). Programme Description The Ernst Ludwig Ehrlich Studienwerk (ELES) is one of the foundations for the development of talent which are supported
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available in the further tabs (e.g. “Application requirements”). Programme Description Higher education graduates of outstanding academic merit who plan to complete a doctoral programme or carry out
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4‑year PhD position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and