588 computer-programmer-"https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" uni jobs in Germany
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Scientific Assistant (f/m/d) Junior Helmholtz.AI Consultant / Completed university studies (Bache...
Services and Computing is the service, consultation and coordination centre for the Information Infrastructure of the HZDR. The Group of Artificial Intelligence is looking for a Scientific Assistant (f/m/d
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family life. For us, contributing to a healthier society in such an inspiring workplace is truly meaningful.“ Get to know us Benefits Career Development: Postdoc program, scientific training & career
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an organized working style and highly developed teamwork skills. Applicants should be enthusiastic about scientific research in an international environment. Excellent documentation skills, computer literacy
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Article 13 of the General Data Protection Regulation (DSGVO) http://go.tum.de/554159 regarding the collection and processing of personal data in the context of your application. By submitting your
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all qualified candidates, regardless of gender. RWTH Aachen University is recognized as a family-friendly institution and provides a dual career program to support partner hiring. Our Family Services
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close to the company free assistance program for employees (EAP) corporate Benefits a varied offer in the canteen on campus Severely disabled persons and those equaling severely disabled persons who
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responsibilities Participate in innovative research projects at the intersection of medicine, computer science, and artificial intelligence, working closely with experienced clinicians, engineers, and scientists
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We offer a PhD position in the project ‘Understanding Metalloenzymes by Computational Nonlinear Infrared Spectroscopy – Insights into the Structure, Function, and Dynamics of Hydrogenases’. [NiFe
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members or visitors in technologies and protocols used in the laboratory Your Profile: Degree from state-certified training program for technical assistants or Bachelor’s degree from accredited university
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groups on campus to co-develop and implement innovative computational approaches for consortium-wide challenges Lead the implementation of data management practices across the SynthImmune consortium