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more complete picture of the applicant's scientific achievements. Evaluation criteria. The research project and the interview with the applicant will be evaluated on a 10-point system. The research
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Background Scholarship code: IND-25122 Expressions of interest - open until filled. This is an industry-linked PhD scholarship. This scholarship is created by La Trobe University in collaboration
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, ideally with knowledge of Drosophila genetics and live imaging the applicant should be able to relocate for 6 months to our collaborator in Chile, where they will develop and optimize novel metabolite
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, ideally with knowledge of Drosophila genetics and live imaging the applicant should be able to relocate for 6 months to our collaborator in Chile, where they will develop and optimize novel metabolite
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for homeowners and potentially increasing awareness and willingness to take action. Combined with “connection workshops”, where households interpret thermal images with researchers and receive retrofit advice from
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efficient for medicine? If the answer is yes, please continue reading! Join our team! We are looking for a PhD student to work on the topic of shape analysis for medical imaging, tailored for deep learning
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the polyamine metabolism pathway by combining methodologies such as crystallographic fragment screening, imaging of protein complexes, and studies of cellular polyamine metabolism. The goal is to create a
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | 4 days ago
of October 2025, - Work in an active team in an excellent scientific environment, - Comprehensive training in behavioral analyses, microscopy, image analyses, - Access to the state-of-the-art equipment and
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | about 1 month ago
Job Code: 16/2025 Job Offer from July 24, 2025 The Max Planck Institute for Extraterrestrial Physics (MPE) in Garching is a world leader in the field of ground-based and space-based experimental
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to contribute to our understanding of fire impacts on vegetation and carbon emissions in a rapidly warming Arctic. You will work on satellite image analysis and field inventories of ecosystem responses to tundra