24 computer-science-programming-languages-"UCL"-"UCL" research jobs at Nature Careers in France
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interdisciplinary, and together we contribute to science and society. Your role Successful candidate will join the Clinical and Translational Informatics, led by Dr. Venkata Satagopam, which focuses on bridging
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in all areas · Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international work environment with more than 50 nationalities
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public engagement For further information about this position, please contact: Your profile PhD in History, Digital Humanities, Data Science, or a related field Demonstrated experience in interdisciplinary
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-reviewed journals (preferably in English and / or German) Teaching in the study program Bachelor en Formation Pédagogique and possibly further study programs at the Department of Education and Social Work
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Sciences (FHSE) at the University of Luxembourg brings together expertise from the humanities, linguistics, cognitive sciences, social and educational sciences. People from across 20 disciplines are working
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BioEngineering Experience with fluidics devices, 3D printed devices, 3D cell culture models and bioinformatics/computational biology (e.g., R, Python) is an asset Team player Proficient knowledge in English is
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to identify existing drugs that may be repurposed for rare disease treatments, accelerating the development process by leveraging known drug safety profiles. -Structural Biology: Implementing computational
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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-source tools and has a long history in coupling natural language techniques and knowledge graphs. The R&D programme for that position includes several tasks: Generalize and abstract the bot from specific
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well as computational modeling. The development and numerical implementation of novel methods has become a key issue in modern oncology, both in terms of understanding the biology of cancers and for medical oncology