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Field
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approach will create a unique foundation for advanced data analysis, including AI, machine learning, and statistical modeling, aimed at uncover the key traits that define successful microbial biofertilizers
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and execute complex research studies, procedures and protocols related to the development of novel biomaterials Participate in discovery projects as well as translational projects in the area of
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A postdoc position focusing on structural and functional characterization of ciliary protein complexes derived from human cells is available in the research group of Assistant Prof. Narcis-Adrian
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new coding languages will be preferred. Proficiency with advanced statistical analysis techniques, demonstrated through mastery of one or more of complex modelling techniques (e.g., multilevel models
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criteria Assessment grounds that would place the candidate at an advantage include documented evidence of research in ecology, experience and knowledge in advanced complex statistical analysis (e.g
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shielding, radiation damage, particle transport. Computational skills allowing to compose or modify comprehensive simulation open-source codes. Experience in data analysis and simulations of complex and
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, complex geometry, arithmetic geometry, algebraic number theory, global analysis, algebraic topology. We have a large group of PhD students, postdocs and visitors here at Essen, and have many joint
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develop innovative solutions based on the analysis of urban data (big data, IoT, GIS) to monitor and improve public health. You will contribute to modeling smart cities with a focus on health and designing
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novel in-situ testing methodologies to observe deformation mechanisms at micro/nano scales. Data Acquisition and Analysis 25% Operate and maintain advanced experimental equipment, including but not
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ED data acquisition, analysis and use of in situ liquid and electrochemical TEM experiments, under the supervision of Professor Joke Hadermann. EMAT is one of the leading electron microscopy centers