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Field
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programme You enjoy working independently and on your own responsibility Initial knowledge of materials science and design theory is an advantage for you Good German and English skills are essential
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(W1, tenure track W2) in Algebra at the Faculty of Mathematics, Computer Science and Natural Sciences This is a tenure-track junior professorship leading to a tenured W2 position. The position is funded
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thesis. What you bring to the table You are currently studying in a Master's program in Electrical Engineering, Mechanical Engineering, Materials Science, or a similar field. You have a good knowledge of
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, weighing and chemical extraction Data entry and evaluation Literature research Your qualifications Enrolment in a Bachelor’s or Master’s degree programme in environmental or natural sciences or equivalent
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the social robot Supervision and advising of students in empirical studies with social robots (or eyetracking) You bring with you: B.Sc.-degree in computer science, computer linguistics, data science and AI
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datasets. Developing and implementing data processing workflows to create high-quality visualizations and maps. Utilizing PIK's high-performance computing cluster for spatial and temporal data analyses
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The Fraunhofer Institute for Molecular Biology and Applied Ecology IME conducts applied life sciences from the molecule to the ecosystem. It is our vision to pave the way to a sustainable future
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and ongoing Master's or Diploma studies in Electrical Engineering, Computer Science, Artificial Intelligence, or a related discipline Strong understanding and hands-on experience with Spiking Neural
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degree in computer science or a comparable qualification Professional experience in IT system administration or a similar role Strong knowledge in Linux and Windows operating systems, including network
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! What