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Description Reference number 3694: PhD student researching and developing alternative methods to animal testing (f/m/d) in the Experimental Toxicology and ZEBET department of the German Federal
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for radioecology using positron emission tomography. Your tasks Developing and testing radiotracers for positron emission tomography (PET) to investigate microbial processes using synthetic organic chemistry and
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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 IX (SGB IX) will receive
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to test complex mixtures and identify their risk drivers. The position is allocated to the junior research group and supports research on regulatory concepts for mixture risk assessment. As a long-term goal
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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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encourage women to apply. The University is a certified family-friendly university. We welcome applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with
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excellent research, academic writing, leading laboratory or track side test and analytical skills. a highly independent and committed way of working, project lead, solid communication skills and team spirit
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therefore expressly encourage women to apply. The University is a certified family-friendly university. We welcome applications from candidates with disabilities. If multiple candidates prove to be equally
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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 IX (SGB IX) will receive
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for imaging plant tissues (rose cuttings) Realisation of a corresponding measuring stand and implementation of test series for imaging Realisation of a data processing routine for the automated detection