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analysis and scientific writing. Personal Competences: Ability to work with deadlines. Ability to be creative, proactive in research ideas and activities, excellent communication skills and ability to work
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research. The enriching encounter of different nationalities, the friendly and collaborative atmosphere, and the passion for science is what unites EMBL’s diverse staff and provides an ideal setting to forge
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or technology achievements recognized by peer experts, and have the potential to become academic leaders in the corresponding field; The applicant has not yet returned to China to work full-time, or returned
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academic or industrial research projects is advantageous Strong attention to detail and experimental rigor, good organizational and time-management skills, ability to work both independently and within a
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Good Hands We provide generous housing, health, and retirement benefits with relocation assistance and family support, access to China's best healthcare and K-12 education networks, and promote work-life
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of Researchers (Charter and Code). Please, check out our Recruitment Policy The role We are seeking a highly motivated candidate to join our team to work on an interdisciplinary project. The candidate must be
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(Raman, CQMB, AFM, etc.) o Experience in programming (LabView, Python, C++, Matlab) o Teamwork skills o Fluent English both spoken and written Summary of conditions: Full time work (37,5h/week) Contract
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-based principles. The successful candidate will train, benchmark, and develop deep learning architectures. They will work in high-performance computing environments and apply expertise in statistical
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, pharmacy, or a related field. Previous laboratory experience and careful experimental documentation are essential. Proactive, reliable, and able to work independently. Available to support the project
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the analysis of experimental data, the validation of sensing platforms, and the maintenance of accurate laboratory records in accordance with FAIR and Open Science principles. The researcher will work closely