32 programming-"Multiple"-"U"-"U.S"-"Prof"-"Fraunhofer-Gesellschaft" Postdoctoral positions at Nature Careers
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fundamental drivers of metastasis, drug resistance, and other key cancer outcomes. Projects will be tailored to the candidate’s strengths and interests, with multiple creative, high-impact directions available
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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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· An environment encouraging curiosity, innovation and entrepreneurship in all areas · Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international
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cells and proteins. Our research is in close collaboration with academy, health care and industry both nationally and internationally. Duties Within this project you will plan, design and perform research
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have performed such studies for a long time and successfully discovered multiple new drug effects under this umbrella. Specifically, this position will work with generating signals within the domain
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studies that extend across multiple scales. The Pioneer Center Land-CRAFT was established in June 2022 to undertake fundamental and applied research from field to landscape scales that will address
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for plants and Physics. A background in plant ecophysiology would be ideal, but is not required. · You have programming experience, knowledge of Python and Git is a plus. · You have a
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at Baylor University is seeking multiple postdoctoral research associates with expertise in either organic chemistry or chemical biology. Please see below for specific information about desired candidate
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research is based on large and high-dimensional datasets across multiple modalities, including molecular, clinical and histopathology imaging data. Our computational pathology research is based