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Description The MAPK pathway plays crucial roles in cancer cell proliferation, survival, and therapy resistance. This project aims to dissect the compartment-specific regulation of ERK1/2 signaling, understand its role in therapy resistance, and identify novel regulators using innovative CRISPR...
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, structured PhD program for all doctoral candidates working at LIV with binding guidelines developed based on the Leibniz Association's guidelines for graduate education. Our program offers multidisciplinary
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in pursuing research in electrochemistry Previous experience with fuel cells, electrolyzers or redox flow batteries is a plus High motivation for pursuing a PhD within 3 years Excellent organizational
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. through an extensive range of training courses; a structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral
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susceptible steel structures. Thus, the candidate will develop reliable machine learning-based surrogate models to replace expensive phase field models to simulate failure because of HE. The activities will be
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In the Leibniz Institute of Plant Biochemistry, the independent research group Receptor Biochemistry invites applications for a PhD position in (bio)chemistry (m/f/d) (Salary group E13 TV-L, part
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social challenges of Advanced Air Mobility (AAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in highly
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WIAS Berlin, Weierstrass Institute for Applied Analysis and Stochastics Position ID: 2306 -PHD [#26752, 25/11] Position Title: Position Location: Berlin, Berlin 10117, Germany [map ] Appl Deadline
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microscopy and atom probe tomography will be prepared. Finally, you will merge the images by means of deep learning algorithms. Your tasks in detail Development of the experimental protocol for the imaging
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integrating machine learning and domain-specific knowledge to predict failure arising from hydrogen embrittlement. You will carry out materials testing, computational model development, data processing, and