237 programming-"Multiple"-"U"-"Prof"-"FEMTO-ST-institute"-"O.P"-"U.S" positions at Nature Careers
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, ultimately, will lead a multidisciplinary team focused on the study of rhabdomyosarcoma. Multiple projects are available, focused on the reciprocal interaction between tumor cells and the extracellular matrix
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contributing to specifically the area of handling spatial data to assess the distribution of several soil properties and fungal communities using samples collected from multiple habitats and land use types at a
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curiosity, innovation and entrepreneurship in all areas Personalized learning programme to foster our staff’s soft and technical skills Multicultural and international work environment with more than 50
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, including innovations in all that we do An environment encouraging curiosity, innovation and entrepreneurship in all areas Personalized learning programme to foster our staff’s soft and technical skills
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multiple operating models. Driving a continuous improvement culture of vendor success will be a key accountability. Reporting to a SOPO Leadership role, you will drive strategic initiatives, ensuring
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contribution Hybrid office working policy, Summer Hours, and paid time off Flexible Spending and Commuter programs Multiple Life insurance options Disability coverage Tuition Assistance Voluntary benefits
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match and contribution Hybrid office working policy, Summer Hours, and paid time off Flexible Spending and Commuter programs Multiple Life insurance options Disability coverage Tuition Assistance
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research group and establish an ambitious research program in the burgeoning research field of Living State Physics. The new professor shall actively engage in education in this field at the NBE department
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of Employment: Full-time Qualifications: Experience and familiarity with team-based software development and principles; Solid programming ability in Python, R, or other common programming languages; Expertise in
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, R, or other common programming languages; Deep expertise in econometrics, statistics, simulations, machine learning, or deep learning—preferably multiple from the list; A deep quantitative integrity