16 phd-position-in-data-modeling-"Prof"-"Prof" Postdoctoral positions at Nature Careers in France
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establishments (Université Côte d'Azur, CNRS, INRAE, INSERM ...), but also with the regiona economic players. With a presence in the fields of computational neuroscience and biology, data science and modeling
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motivates you to apply for this position? What is your experience in analysing insurance claims data or big data? What is experience/knowledge in trajectory modeling? For a fair recruitment process, please
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facilities. Skills/Qualifications PhD in microbiology, molecular biology, or related field Strong experience in bacteriology and molecular mechanisms of pathogenesis Previous experience with insect models and
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-career researchers who have completed their doctorate (or PhD) and post-doctorate elsewhere than at the Observatoire de la Côte d'Azur and wish to develop their research program around the theme of Earth
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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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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meetings For further information, please contact Assoc. Prof. Carole Linster (email address: ). Your profile PhD degree in molecular biology, cell biology, biochemistry, genetics, or another similar life
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A post-doctoral position in human population genomics is opening in our lab to work on the POPGEN project. The POPGEN project is a pilot research project developed in the framework of the French
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that this will lead to a tenured position. Required Education Level or Diploma PhD, Biology Contract The selected candidate will be hired by INSERM to work at CRCI2NA under the direct supervision of Dr. David
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of food-induced anaphylaxis, to study functional immune changes in a longitudinal mode. Integrating those clinical and immune data will generate computational models to endotype patients and to decipher