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Field
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conditions chemical analysis of plant secondary metabolites using HPLC-MS and GC-MS protein isolation and characterization using LC-MS plant physiological measurements molecular biological investigations (e.g
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of microbiome research data from the project with data from literature (e.g., molecular pathways) using the knowledge graph Re-analysis of already published data Identification of microbial effectors from
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The AITHYRA-CeMM International PhD Program in AI/ML, Molecular Technologies and Systems Medicine Do you want to work in a creative, free-minded scientific environment at the interface of life
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sequencing technologies - including metagenomics and transcriptomics - to explore the dynamic interplay between human gene expression and microbial communities. The successful candidate will develop and apply
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these materials into high-performance fibers and functional materials. By manipulating molecular interactions through chemical and physical methods, we tailor the structural and mechanical properties of bio-based
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dynamical systems, with applications ranging from plasma physics and molecular dynamics to advanced simulations for sustainable energy research. We are looking for a motivated and ambitious PhD candidate
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Your Job: Develop AI pipelines that translate -omic signatures into dynamic model parameters Implement reinforcement-learning agents that optimise model performance Collaborate closely with
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Containers (e.g. docker). * Proven ability to work independently and collaboratively. * Experience with communicating results and concepts with a diverse audience including molecular biologists and laboratory
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and the Leibniz association Training and scientific development opportunities in an international environment and an excellent working atmosphere in a very dynamic and professional team Extensive state
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The Department of Biochemistry and Biophysics SciLifeLab (SciLifeLab ) is a national center for molecular biosciences with a focus on health and environmental research. The center combines frontline