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extension, in the programme area "Next-Generation Horticultural Systems" (HORTSYS), in the research group "Open Field Horticultural Systems" within the EU-HORIZON project NitroScope - "Scoping European N
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Description In the Leibniz Institute of Plant Biochemistry, the research group Symbiosis Signalling invites applications for a PhD position in biology (m/f/d) (Salary group E13 TV-L, part-time 65
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mechanistic and clinical studies. To expand our activities, we are looking for a motivated PhD student to investigate mechanisms of disease and drug resistance in myeloid leukemia. Job-ID: V000014484 Field
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biology and great enthusiasm for the bone marrow niche and therapy-resistance mechanisms. The PhD student will work in close collaboration with other CRC/SFB members and groups and will perform multiomics
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Senior Scientist / Group Leader on Bioinformatics / Computational Biology on RNA Regulation in Disea
for extramural funding and build an own computational biology research group Your profile: A PhD (or equivalent) in Bioinformatics / Computational Biology More than 5 years postdoctoral experience with several
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of the Leibniz Association. The following position is available at the Institute subject to approval by the funding organization from October 1, 2025, for a fixed term of three years, in the program
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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
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Leibniz Association. The following position is available at the Institute subject to approval by the funding organization from October 1, 2025, for a fixed term of three years, in the program area "Next
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In the Leibniz Institute of Plant Biochemistry, the research group Symbiosis Signalling invites applications for a PhD position in biology (m/f/d) (17/2025) (Salary group E13 TV-L, part-time 65
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Max Planck Institute for Brain Research, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 1 day ago
Access to state-of-the-art scientific infrastructure and training (including imaging, scientific computing and data visualization, proteomics, and electronics facilities, and a mechanical workshop