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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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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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experiments of considerable scope and complexity in the assigned research lab focusing on enteric neuropathy in postoperative ileus and GI disorders; collects and analyzes data for research sponsored by
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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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primarily on structural analysis of protein complexes and will best suit a candidate with a PhD and relevant experience in protein biochemistry and structural biology, specifically cryo-EM/ET. The second post
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and its impact on human health. Applies advanced statistical analysis methods to interpret complex genomic data, primarily next-generation sequencing data. Works on multiomics projects, integrating data
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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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personnel for training. Responsible for the initiation, monitoring, completion, and reporting of complex and intricate laboratory experiments. Organize and implement data review and analysis. Collaborate with
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to uncover biomarkers, therapeutic targets, and mechanistic insights into complex diseases. The project addresses critical challenges in personalized medicine, disease stratification, and multi-modal data