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Responsibilities Teaching in the fields of machine Learning and natural language processing. Independent teaching of compulsory courses in these areas for the degree programs Computer Science, Biomedical Engineering
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As Austria's largest research and technology organisation for applied research, we have set ourselves the goal of making substantial contributions to solving the major challenges of our time: climate change and digitalisation. With a high standard of excellence, we are working to make a...
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. Biotechnological methanol valorization (BOKU/New Path Bio) 2. Production of biochemicals based on biodiesel and bioethanol waste (BOKU/Vogelbusch) 3. Membrane separation process for CO2 (TUW/ Voestalpine) 4
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: identify and characterize the enzymes and genes involved in the biosynthesis of novel dyes optimize the cultivation process towards maximized productivity and yield of biobased dyes for most promising native
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process Applications must include the following documents: A CV based on the Europass template including publications, conference contributions, and other scientific activities (if applicable) A cover
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line. Please include the clause “I consent to the processing of my personal data for the purposes of this recruitment process in accordance with the EU GDPR”. CVs should follow the Europass template
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Experience in electroencephalogram and electrospinogram, other biosignals Experience in biosignal processing Experience in nerve stimulation Knowlege in machine learning Very good written and spoken English
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spoken German and English skills Very good computer skills Interdisciplinary knowledge in the field of the dissertation Please enclose written reflections on your dissertation project with your application
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readout Your Profile A Master’s degree in electrical engineering or physics Experience in the development, characterization and/or operation of particle detectors Knowledge of Linux, Python and/or C
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direct influence on understanding how cancers develop resistance to therapy. The Cresswell Group is focused on the mutational processes and evolution of pediatric cancers. The aim of this research group is