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off, and retirement plans We are looking to fill this position at the earliest opportunity The position will be awarded for a limited period of time for the current duration of the AI Factory Austria
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technical studies (at least MSc.) in computer science, mathematics, electrical engineering, physics, or other related fields. Very good knowledge in computer vision or image processing, especially in
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experience and theoretical knowledge in genome engineering, yeast genetics and cell biology • You should have some experience in external funding acquisition (research fellowships) • Basic experience in
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knowledge in protein purification, biophysical and biochemical characterization of proteins, and genome engineering • You should have some experience in external funding acquisition (research fellowships
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Scientist (f/m/d) for System Transition Modelling & Policy (Full time / Part-Time: 25+ hours / week)
FieldInnovation Policy & Transformation , you will deal with current and future challenges in topics such as research, technology and innovation policy, infrastructure and industrial policies and societal
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research articles, project proposals, and other research-related outputs Support administrative and outreach tasks related to the project Your Profile: Background in geography, geotechnical engineering, or
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losses. The approach leverages compartmentalization to isolate engineered pathways, concentrate substrates and enzymes, and protect the cell from toxic intermediates. Your future tasks: You actively
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projects funded by the Horizon Europe and Clean Aviation programmes. Your qualifications as an Ingenious Partner: Master or (preferably) Ph.D. level qualification in Electrical, Aerospace Engineering
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& administration, which means: • You will be responsible for the MINFLUX software and will work closely together with an optical engineer. • You publish internationally and give lectures. • You apply
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(or equivalent qualification) in neuroengineering, computer science, mathematics, electrical engineering or a related field Strong analytic skills and experience in signal processing and machine learning Excellent