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. one page) Your motivation for applying for the specific PhD project which may include your first ideas on research direction and organisation (max. one page) Curriculum vitae including information about
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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Your Job: At the Electrocatalysis department of Prof. Karl Mayrhofer, we offer a PhD position within the team Nanoanalysis of Electrochemical Processes. Lead by Dr. Andreas Hutzler, the team is
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engineering. Preferred Qualifications: PhD in Chemical Engineering or closely related field. Extensive, hands-on experience with CFD analysis and modeling, including proficiency with leading CFD software tools
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data integration, cancer systems biology, and single-cell analysis, with strong links to clinical and translational oncology. Our work is based in the dynamic research environment of Heidelberg
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early ‘prodromal’ stages) is yet to be established in large community settings. This PhD project will examine the effectiveness of AI-based analysis of eye images in predicting cognitive/neurodegenerative
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conducting microbiological work and should preferreably have practial experience within molecular biology laboratory techniques as well as practial experience with omics data analysis (e.g. NGS workflows and
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critical to ensuring the longevity and safety of fusion reactors. This PhD project focuses on developing an integrated framework that combines cutting-edge computational models, including Monte Carlo
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Knowledge and experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl
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. 2D-MATURE invites applications for 2 positions for PhD candidates (m/f/d) (3.5 years, 100 % TV-L 13) in the research areas of growth, analysis and electronic / optoelectronic device implementation