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11 Aug 2026 Job Information Organisation/Company Nencki Institute of Experimental Biology Research Field Biological sciences » Biology Medical sciences » Cancer research Medical sciences » Health
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inference and natural language processing. A central challenge when drawing causal conclusions from observational data is adjusting for confounding factors. In the social sciences, many of these factors
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qualified applicants to apply. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement
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level, experience in isolating and working with primary immune cells, experience in precise genetic engineering, for example using CRISPR/Cas9. Further information The position is a full-time fixed-term
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qualifications: BSc in Biology Master in Public Health PhD in Biology or Molecular Entomology Oral and written skills in English language More than 10 years’ experience with insecticide resistance, with a
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of Singapore, and EPFL (Switzerland). These partners are looking for talents in several domains of machine learning, AI, computational biology, and biology, to develop PhD theses across the main pillars
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global challenges. Our support and scientific staff, including PhD candidates, postdocs, and students, largely work together on three main themes: the energy transition, sustainable aerospace, and safety
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information please visit: https://www.gov.uk/skilled-worker-visa . As a valued member of our team, you can expect: 1 A warm welcoming and engaging organisational culture, where your talents are developed and
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variation in proboscideans across North America. Responsibilities include specimen sampling, laboratory analysis using ZooMS and related proteomic techniques, data analysis and management, collaboration with
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Queiroz College of Agriculture (ESALQ-USP) in Piracicaba, São Paulo state, Brazil. The selected candidate's main activities include: Data Organization– Compile and harmonize macrofauna/soil data and