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candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive priority
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-friendly university. We welcome applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German
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. The University is a certified family-friendly university and offers a Dual Career Service. We welcome applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those
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. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive priority for employment. Please submit your
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to study biological questions in multiple areas, including proteostasis/autophagy, targeted protein degradation (PROTACs), inflammation, cancer, infection and ageing. We have developed a range of proteomics
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university. We welcome applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code
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, Computational Biology, Applied Mathematics or related field Interest in interdisciplinary research Applied experience with machine/deep learning methods Ability to handle multiple projects in a dynamic
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the relativistic mirror effect, originally proposed by Einstein. Such relativistic mirrors can be produced using intense lasers and emit high multiples of the laser frequency in the X-ray and extreme
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Postdoc position: mechanisms of autoimmunity & autoinflammation in inborn errors of immunity (m/f/d)
communication skills, with the ability to handle multiple tasks simultaneously Strong English skills with excellent writing and presentation abilities Enthusiastic and collaborative work attitude Applicants
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Hospital Bonn, the position will be affiliated with a newly established junior research group focusing on early detection of Alzheimer's disease using multiple layers of omics data and statistical modeling