88 computer-science-programming-languages-"St"-"ST" positions at Nature Careers in France
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-related inquiries within LCSES Coordinating, supervising, and enhancing the capabilities of the Data Science team. Represent the Data Science Team on the LCSES management board For further inquiries, please
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, interpretation, and statistical analysis. Key Skills, Experience & Qualifications Enrolled in a Master’s program in Analytical Chemistry, Chemical Engineering, or a closely related discipline. Strong interest in
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opportunity for an outstanding scientist to develop an innovative research program at the interface of chemistry and biology within one of the five major DYNABIO-affiliated institutes (C3M, iBV, IPMC, IRCAN
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opportunity for an outstanding scientist to establish an independent research program at the interface of biology and computer sciences, in one of the five major DYNABIO-affiliated institutes (C3M, iBV, IPMC
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The candidate should preferably have a PhD in Computer Science or Robotics with a solid background on deep learning and 3D scene understanding. Experience with LiDAR and Computer Vision is a plus. The candidate
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Qualifications PhD in epidemiology, biostatistics, data science or comparable; Ideally, an experience working with insurance claims data; Good writing skills in English. Interest in working in an international and
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interdisciplinary, and together we contribute to science and society. Your role Interact with research groups in Luxembourg in the context of ELIXIR Luxembourg to consult and perform joint research Plan and conduct
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at the Assistant Professor (Tenure Track) level to build a research program that advances AI-driven translational research in fibrosis and cancer. The successful candidate will establish an innovative research
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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