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) Background: The position is embedded in the collaborative research program “Precision Organoid Engineering for Multi-Organ Interaction Studies (POEM)”: www.uni-heidelberg.de/en/cctp-poem The POEM program aims
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. The position is embedded in the collaborative research program “Precision Organoid Engineering for Multi-Organ Interaction Studies (POEM)”: www.uni-heidelberg.de/en/cctp-poem The POEM program aims to generate
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the collaborative research program “Precision Organoid Engineering for Multi-Organ Interaction Studies (POEM)”: https://www.uni-heidelberg.de/en/cctp-poem The POEM program aims to generate reproducible, micrometer
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contribute to practical supervisory implementation Your Profile: Enrolment in a Ph.D. programme or Ph.D degree or Masters with 3-4 years of relevant professional experience in Economics, Sustainable Finance
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interest and motivation for the position (limited to 2000 characters), The email addresses of 2–3 references who can provide a letter of recommendation. For more details about the program (including further
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researchers: two doctoral researchers (m/f/d): reference number: 25_01_A4 These two positions are initially for a fixed term of three years. The institute’s personnel development plan allocates four years
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, the China Scholarship Council (CSC) and the DAAD have offered a joint programme to support Chinese postdocs since 2013. Who can apply? Outstanding graduates from Chinese Universities and institutes. What can
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Apply now to join Boehringer Ingelheim as part of the prestigious PostDoc grant program opn2TALENTS and have the chance to pursue your own submitted research project as a fully resourced two-years
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project led by the MDC/Helmholtz Imaging, GEOMAR, Hereon and FZJ, fully committed to Open Science. We are looking for a PhD student or Postdoc or Research Software Engineer to join our highly vibrant and
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research studies for automated image analysis. In particular, you will: Plan, develop, and implement AI/ML algorithms for pathology image analysis. Integrate multi-modal data (e.g., genomics, clinical data