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Field
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Assistant to join our team. Our research focuses on the interface of glial biology and brain cancer, with a particular emphasis on malignant glioma — the most aggressive and lethal form of primary brain tumor
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Background Access to healthcare is an ever-increasing global issue. Over 15% of the current global population require rehabilitation care, but the majority of them do not receive healthcare access. Remote monitoring of human movements and physiological parameters is critical for future...
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Nanomedicines have recently seen immense success, both for therapy and vaccination (e.g., the Pfizer/BioNTech and Moderna COVID-19 vaccines). This success notwithstanding, there are several challenges holding back an even wider usage. This PhD position is part of the national NanoMedNL...
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research is dedicated to improving the diagnosis and treatment of fungal infections. Additionally, we explore the biology of these infections, as well as the molecular mechanisms behind stress and antifungal
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Description Conducting research for a changing society: This is what drives us at Forschungszentrum Jülich. As a member of the Helmholtz Association, we aim to tackle the grand societal challenges of our time and conduct research into the possibilities of a digitized society, a...
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and excellent organizational skills Qualifications Ph.D. in Genetics, Cell Biology, skeletal biology, or a related field to the project highlights Experience with gene editing techniques (CRISPR
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include performing all necessary biochemical, molecular, and cell biology techniques to conduct the research. · Responsible for laboratory activities to isolate and culture the cells under sterile
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Your Job: We are offering a PhD position dedicated to the advancement of cryo-EM image analysis methods at the interface of Structural Biology and Electron Imaging at the Forschungszentrum Jülich
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The Machine Learning for Integrative Genomics team at Institut Pasteur, headed by Laura Cantini, works at the interface of machine learning and biology, developing innovative machine learning
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must either have a PhD in a relevant biological subject or have submitted or about to submit their PhD thesis. Candidates must also have demonstrable expertise in biochemistry, cell biology and/or