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Dortmund, we invite applications for a PhD Candidate (m/f/d): Multidimensional Omics Data Analysis You will be responsible for Prediction of metabolic activity in complex microbial communities, leveraging
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Dortmund, we invite applications for a PhD Candidate (m/f/d): Multidimensional Omics Data Analysis You will be responsible for Setup a knowledge graph in neo4J for microbiome research Integration
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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and microscopy. This 3‑year, part‑time (65 %) PhD position offers a unique opportunity to advance fundamental and applied understanding of host–parasitoid dynamics across diverse marine environments
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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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experience with spatial data analysis using GIS tools or spatial libraries and familiarity with common land-use datasets would be advantageous familiarity with environmental or agricultural economics research
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The Network Analysis and Modelling uses machine learning to investigate how genetic variation shapes gene regulation, protein function, and, ultimately, observable plant traits. We are seeking a
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The Weierstrass Institute for Applied Analysis and Stochastics (WIAS) is an institute of the Forschungsverbund Berlin e.V. (FVB). The FVB comprises seven non-university research institutes in Berlin
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for applying living therapeutic materias. The PhD thesis will be embedded in the Leibniz Science Campus on Living Therapeutic Materials (https://www.lsclifemat.de ), an interdisciplinary consortium aiming
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developed in order to improve the chemical characterization of these ice-active compounds. The optimized analysis techniques will then be applied to a selection of atmospheric aerosol, cloud and precipitation