1,604 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Fraunhofer Gesellschaft" positions at Nature Careers
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: Faculty Position in [Field] – [Rank] – Ref: [F26U01] – UNIC Athens Important Information: Positions will remain open until filled. Due to the high volume of applications, only shortlisted candidates will be
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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, military branch, conflict counselling). Experience in data entry and working in emergencies and fast pace, stressful environment. Some experience with computer systems, including Microsoft Office (Word
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research and unite our researchers around our Technology Innovation Challenges and Life Science Challenges. For more information on the Franklin’s Challenges click here . The Role We are seeking a highly
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contributions to mastering the global challenges of mankind in the fields of energy, mobility, and information. For this, about 10,000 employees of KIT cooperate in a broad range of disciplines in research
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(graduated or close to graduation) in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, Applied Mathematics, or related fields. Scientific curiosity and creative thinking
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, it will be important for candidates to have familiarity with basic coding practices to coordinate data collection across multiple platforms (e.g, coordinating calcium imaging or optogenetic delivery
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purification and PCR reactions following established protocols Assist with tissue preparation, sample preparation, data collection, microscopy imaging and other basic experimental procedures Accurately document
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will connect hospitals across Luxembourg, Germany, and Asia, establishing secure, future-proof communications for sensitive healthcare data. Alongside the network deployment, LIH is developing a real
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materials synthesis, advanced operando characterization, and lab scale testing. We use robotic, high-throughput methods, and data science to accelerate novel sustainable materials discovery. PhD Position