63 evolution-"https:"-"https:"-"https:"-"https:"-"https:" positions at Technical University of Munich
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explores biotechnological solutions to the environmental, ethical, and sustainability challenges of conventional animal agriculture. Our research focus is the development of alternative proteins for food
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. • Direct involvement in the design of experiments yielding high-dimensional data for further bioinformatic analysis • Participation in research projects in immunology, development of robust data analysis
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paid PhD position in the area of Natural Language Processing starting as soon as possible. Your responsibilities Research & development projects in the area of Software Engineering. Possible areas
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. Together with a total of eleven postdoctoral researchers, you will actively participate in the scientific-academic discourse on current research and development issues in the field of green hydrogen. You are
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/ ). Your Profile We are looking for a Ph.D. student who is willing to learn and explore new topics while playing nice in a team. Your main task will be the development, conceptualization, and eventual
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computer science, electrical or mechanical engineering, applied mathematics, or a similar engineering-oriented quantitative discipline Advanced software development and data analytics skills Hands-on mentality with
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data analytics frameworks (Hadoop, Spark, Flink, etc.) is desired - Interest in the development of software systems, very good knowledge and skills in programming with standard programming languages
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explore new topics while advancing the scientific field. Your main task will be the development, conceptualization, and eventual implementation of new logic synthesis and design automation, simulation, and
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) for performing fundamental research in the frame of the project DrawOn funded by the Bavarian State Ministry for Economic Affairs, Regional Development and Energy. The candidate has the opportunity to pursue a
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on the following research areas: - Development of building concepts for VF that are energetically optimised but also economically attractive. - Holistic mapping of thermodynamic processes on the plant and lighting