12 phd-in-architecture-and-built-environment-"Prof" PhD positions at Heidelberg University in Germany
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=25576 PhD student in cancer proteomics (m/f/d) Stellenanzeige merken Stellenanzeige teilen available
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at the Medical Faculty of Heidelberg University, in collaboration with Prof. Dr. Irmela Jeremias, invites applications for a PhD student in Bioinformatics / Computational Biology as part of the CRC1709-funded
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together with a PhD student in the lab of Prof. Jeroen Krijgsveld, which will focus on the proteomics part of the joint SFB/CRC project applying state-of-the-art proteomic approaches, e.g. low-input/single
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cells, Ribo-seq, scRNA-seq, PDX in vivo models. The PhD student will work closely together with a PhD student in the lab of Prof. Michaela Frye, which will focus on the in vivo experiements of the joint
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to preclinical models of osteosarcoma. The PhD candidate will join the group of Dr. Chris Carnie and benefit from a thriving environment with close collaborations across the Universitätsklinikum Heidelberg (UKHD
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The research group of Prof. Dr. Michael Mastalerz at the Institute of Organic Chemistry, Heidelberg University is seeking the following temporary position from October 15th 2025 or later: PhD
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PhD position (f/m/d) “How to regulate the duration of mitosis and control cell fate decisions” Centre for Molecular Biology (ZMBH) Heidelberg University, Germany We are seeking highly motivated PhD
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=24745 PhD Position – Research in Neurodevelopmental Disorders (m/f/d) Stellenanzeige merken
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=25633 PhD student -Translational Research Lab - Single cell multi-omics to unravel niche plasticity
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=25541 PhD position - Functional and molecular characterization of AI-based morphological predictors