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physiological and chemical biology of proteins like ion channels and proteases. The group tackles questions in the field of ion channels and proteases with innovative physiological, 3D modeling, structural
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semantics e.g. for Earth Observation and Internet of Things, Telecom GPT, Open RAN/AI-RAN integration Infrastructure: MFSS - Multi-functional structures. ISAC - Integrated sensing and communications
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our structured training program and participate in regular scientific exchange e. g. in retreats, colloquia and in tailored workshops. Requirements Candidates should hold an outstanding Master’s
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aggregation assays is a plus Well-structured and autonomous working style, good organisational and communication skills Team player Early-stage researcher: a researcher without a PhD who has graduated in
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the development of buffer structures) and AlGaN growth for AlGaN/GaN heterostructures. Exchange and collaboration with a diverse team of scientists from the REC² Cluster, in particular with those from the fields
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and manipulating the electronic structures of solid-state materials, to tackle the significant and diverse challenges facing society as we transition away from technologies reliant on fossil-fuels
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research environment organized within a structured PhD program that enables to complete a doctoral thesis within three years. Topics: Researchers of several disciplines are collaborating in ScaDS.AI
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vitae (max. 3 pages), structured as per TENK guidelines completing the sections relevant for applicant’s career stage and the target position. Two reference letters submitted by the referees via
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SD- 26053 PHD IN ULTRA-FAST MACHINE-LEARNING INTERATOMIC POTENTIALS FOR NANOINDENTATION OF TIC MA...
compositions of Ti and C and different structures, including MD-based nanoindentation simulations and defect analyses. To facilitate this, you will further develop the ultra-fast machine-learning potentials used
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of IAI mechanisms and develop innovative antibacterial biomaterials to improve patient outcomes. Structured around three core scientific pillars—regenerative medicine, biomaterial science, and