Students: Data Infrastructure Developer
vor 2 Wochen
At the Fraunhofer Institute of Electronic Nanosystems (ENAS), we are leveraging AI technologies to revolutionize semiconductor fabrication processes. Our mission is to develop robust data analysis tools that streamline and enhance semiconductor fabrication processes. We are seeking a talented student to join our team and contribute to the development of cutting-edge data infrastructure. As we navigate the age of data and AI, the role of data infrastructure becomes increasingly pivotal. Your work will directly impact our ability to collect, analyze, and leverage data to drive innovation in semiconductor fabrication. We are currently seeking candidates for Master's theses, internships, and student assistant positions. We can discuss our ideas together to find the right job for you. What you bring to the table Strong understanding and practical experience in software development and design. Proficient in abstract and structural thinking, with the ability to solve complex problems. Excellent programming skills, preferably with Python. Still studying in Chemnitz, Mittweida or the surrounding area. A grade point average of < 2 is preferred. What you can expect Collaboration in innovative and exciting research projects, with the opportunity to contribute your own ideas. Professional supervision and a varied range of tasks. A collegial, pleasant and motivating working environment. Flexible working hours and thus the optimal compatibility of studies and practice. We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability. With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future. Interested? Apply online now and be part of the Data-Based Methods team at Fraunhofer ENAS. We look forward to getting to know you Fraunhofer Institute for Electronic Nano Systems ENAS Requisition Number: 78133 Application Deadline:
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Werkstudent Data Science
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Chemnitz, Deutschland AMVisor GmbH VollzeitDu liebst Zahlen? Statistiken sind Deine Leidenschaft? Dann bist Du bei AMVisor, der ersten und weltweit führenden B2B SaaS-Lösung für ein erfolgreiches Amazon Vendor Business, genau richtig. Die weltweit führenden Konsumgüterhersteller nutzen AMVisor, um gemeinsam mit Amazon sicherzustellen, dass ihr Angebot Millionen von Endkunden jederzeit zur...
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Chemnitz, Deutschland Fraunhofer VollzeitThe particular strength of the Fraunhofer Institute for Electronic Nano Systems ENAS lies in the development of smart systems - so-called intelligent systems for various applications. The systems combine electronic components, micro and nano sensors and actuators with interfaces for communication. Fraunhofer ENAS develops individual components, the...
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Students: Computer Vision in Semiconductor Metrology
vor 12 Stunden
Chemnitz, Deutschland Fraunhofer-Gesellschaft VollzeitThe particular strength of the Fraunhofer Institute for Electronic Nano Systems ENAS lies in the development of smart systems - so-called intelligent systems for various applications. The systems combine electronic components, micro and nano sensors and actuators with interfaces for communication. Fraunhofer ENAS develops individual components, the...
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Student Trainee/internship
Vor 3 Tagen
Chemnitz, Deutschland FDTECH VollzeitChemnitz, Munich, and Weyhausen- Level of experience: Pupils / Students- Your purpose- Evaluation of sampling algorithms and DoE methods for test case parametrization- Tasks you will take on- Theoretical analysis of sampling algorithms - Design of surrogate models for modeling system behaviour - Numerical analysis using python libraries - Application for...
