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University of Würzburg and Helmholtz Institute for RNA-based Infection Research, GERMANY 1 PhD student & 1 Postdoc Position Specialized metabolite functions during gut microbial interactions in
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of motion analysis in collaboration processing of images in preparation for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field
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transcriptomics programme to gain deeper insights into how different types of brain tumours grow and how brain tumour and brain resident cells interact in this process. You will contribute to these research efforts
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for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field strong background in image processing and analysis, including deep learning
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.) and PhD in immunology, cancer biology, molecular biology, biomedical sciences, or a related discipline Proven expertise in T cell biology, including activation, exhaustion, or immunotherapy Hands
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Postdoc (f/m/d) in Irradiation Tolerance of Additive Manufactured Ferritic/Martensitic Steels for...
at scientific conferences Your profile # Completed university studies (PhD) in the field of Materials Science, Materials Engineering, Physics, Nuclear Engineering or a comparable field # Sound knowledge in
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for astrobiology and astrochemistry. Your profile A qualified candidate will have a PhD in electrical engineering, physics, or a related field, as well as expertise in one or more of the following: nanofabrication
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, bright individuals with a diploma or master’s degree in bioinformatics, biochemistry, biology, molecular/translational medicine or related subjects and a PhD in life and computer sciences. Previous
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outstanding postdoctoral researchers in the fields of Physics, Chemistry, Mathematics, Computer Science, Earth Science and the Life Sciences. This collaborative program offers a comprehensive four-year position
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combining experimental and computational approaches to: Characterize the evolution of cis-regulatory networks across primate brain development using novel single-cell omics methods Apply deep learning models