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schemes a secure job flexible working hours and childcare support the possibility of mobile working an idyllic green campus, which is easily accessible by bicycle, public transport or car free use
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machine learning methods in the context of biological systems Experience with programming (e.g., Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted
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pension schemes a secure job flexible working hours and childcare support the possibility of mobile working an idyllic green campus, which is easily accessible by bicycle, public transport or car free use
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idyllic green campus, which is easily accessible by bicycle, public transport or car free use of Nextbike from the Buch S-Bahn station to the campus Subsidy for the job ticket as well as discounts in
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) in materials science, biotechnology, microbiology, bioinformatics, life sciences, engineering, or comparable field with completed doctorate Experience with AI-supported modeling (e.g., Scikit-Learn
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collaborative and international atmosphere with strong scientific exchange childcare support an idyllic green campus, which is easily accessible by bicycle, public transport or car free use of Nextbike from
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, nationality, ethnicity, sexual identity, physical abilities, religion or age. Qualified applicants with physical disabilities will be given preference. Learn more about diversity at Helmholtz Munich Our
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asset – or motivation to learn during the project Desirable qualifications Interest in or openness to a 6-month research stay abroad for in vivo experiments Strong communication skills in English (spoken
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spectroscopy publication record, third-party funding confident manner, (project) management experience interest in research coordination and cooperation good knowledge of German or willingness to acquire good
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to learn We offer: A varied and challenging job within a top-class network from politics, science, business and society Work in national and international networks with universities, research institutions