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the Excellence Cluster for Systems Neurology (SyNergy ) and a Leducq Network on Brain Endothelial Cells. Our environment As part of the DFG-funded Excellence Cluster SyNergy, member of large collaborative research
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for 3D bioprinting. Active participation in the research activities of the research groups. Provide expert feedback and mentoring to MSc and PhD students. Present your research findings both internally and
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qualification and skills: PhD university degree in microbiology, ecology, or a related discipline Strong experimental background in microbiology and molecular biology Solid understanding of microbial ecology
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, and benchmarking experiments Support of user experiments, commissioning and in-house research at MID Data analysis and publication of scientific results Requirements PhD degree in physics or a related
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azoospermia working with large-scale genomic datasets Functional characterisation of genetic variants in Drosophila utilising CRSIPR/Cas9 Supervising and training of students (PhD, MD, Master
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 1 month ago
candidates who have, or will soon obtain, a PhD in demography, sociology, epidemiology, medicine, health economics, biostatistics, public health, or a related field. The successful candidate is expected
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of cancer immunotherapy, transplant rejection and autoimmunity. The objective of the LIT is to develop efficient immune therapeutic strategies in these areas. Close networking between University and
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Max Planck Institute for Astrophysics, Garching | Garching an der Alz, Bayern | Germany | 3 months ago
Qualifications A PhD in astrophysics, physics, applied mathematics, or a closely related field Extensive experience with Information Field Theory (IFT) Strong practical expertise with Numerical Information Field
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. The candidate should have: a PhD in microbiology, molecular biology, biochemistry or related subjects strong interest in genome-wide functional genetic methods, such as transposon or CRISPR assays. Previous
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university degree specialising in a natural science or engineering subject and with a very good PhD Knowledge of impact assessments of detonation and deflagration events Knowledge of validated numerical