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formulations Development of a screening platform for cosmetic formulations Data analysis by “Design of Experiments” (DoE) and other statistical tools Your profile Successfully completed graduate university
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Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use machine learning (ML) along with data from previously solved problem
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Your Job: This PhD project bridges between classical analytical methods and modern AI based techniques to analyse spike train recordings to advance our understanding of neural population coding
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. This can be either a study year in Germany as part of your study programme at your home university or an independent project or complementary study course with a professor/an instructor in Germany. The
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Your Job: This PhD project develops a Bayesian inference framework for hybrid model- and data-driven modeling of metabolism, with a particular focus on handling model misspecification. By combining
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Your Job: The PhD position is offered in the context of the HDS-LEE graduate school. We are looking for a highly motivated PhD candidate to join our world-leading research program in Earth System
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type, developmental stage, treatment) to build tissue- and context-specific co-regulation networks Design and implement clustering and integration approaches (e.g., network-based and subspace clustering
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they begin their scholarship – depending on the graduate school. What can be funded? A PhD project at a structured graduate school at a university in Germany. Duration of the funding Up to 4 years
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(or MPI-SWS and the University of Maryland for the joint program), students obtain a doctoral degree from one of our cooperating universities as well as a certificate of doctoral research from MPI-SWS. Do
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Your Job: We are looking for a PhD student in machine learning to work within a project linked to the “Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE)”. Your Job: Develop