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its role in hematopoiesis over life time. We plan to employ inflammatory challenges and will combine experimental animal models with studies on human cells to translate principles and mechanisms
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technology Strong mathematical education, in particular in relation to linear algebra Strong programming experience Ability to effectively communicate in written and spoken English Ability to work autonomously
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program during the postdoctoral training. Requirements: We are looking for an enthusiastic scientist with a desire to work on a challenging and timely project using state of the art technology as part of a
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functionalities (GUI and web-service) Participate in field work organization, sampling plan establishment and in-situ data acquisition Your Profile PhD in environmental sciences or computer science, with a proven
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the structured Junior Faculty Development Program and have the opportunity to teach at LMU Munich engage with international top-class economists within our CESifo network with over 2,000 members from all over
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several students from abroad in our master’s program each year. It is important to us to provide a family-friendly environment at ESAGA. The university has several offers regarding child care for children
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literacy with at least basic programming skills (R, Python). Analytical mindset, with a keen interest in advancing proteomic methodologies Knowledge of cancer biology is an advantage We offer Cutting-edge
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for laboratory and field work Strong background in programming and data analysis (preferably Python) Excellent data analysis and publication capabilities Excellent communication skills in English, both written and
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engineering methods (e.g., via CRISPR). Plan and execute experiments to probe robustness of tissue morphogenesis, particularly through quantitative imaging and large-scale molecular profiling (e.g., via scRNA
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. The candidate will have the opportunity to obtain additional external funding and develop an independent research program during the postdoctoral training. We are looking for an enthusiastic scientist with a