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or dysfunction of these ion channels is associated with various diseases such as lysosomal storage disorders, cardiac arrhythmias and heart failure. Further information can be found on our homepage . The BMC is
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at https://www.fz-juelich.de/en/careers/phd Place of employment: Aachen We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation / identity
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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
DNA thermodynamic database, coarse-grained simulations of DNA motifs, and existing experimental data to establish an AI model that is able to guide the construction of desired secondary structures
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Description Location: Hamburg, Germany Positions: PhD positions in interdisciplinary climate research Application Deadline: 15 September 2025 Start Date: (from) March 2026 Financial Support
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Project (PhD Position) – AI-Guided Design of Scaffold-Free DNA Nanostructures Your Job: The field of structural DNA nanotechnology holds a great promise for the realization of all-DNA building blocks with
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22 Aug 2025 Job Information Organisation/Company RWTH Aachen University Research Field Engineering » Civil engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country
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and curate LC-MS/MS data for high-quality feature extraction Design and train machine-learning models for mass spectrometry and chemometric data Integrate multi-omic data including genomics and
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PhD Position - Neuroinflammation & Glial Biology (f/m/d) Hertie Institute for Clinical Brain Research, Neuron-Glia Interactions Lab, index number 6604 Part-time: 65 % Limited: 3 years Start of work
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position of a PhD student (m/f/d) in the field of mountain forest management, 65%, available from January 2026 Your profile Completed master studies in the field of forest management, mountain ecology
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High motivation and enthusiasm for working in an interdisciplinary research environment Research focus: The successful candidate will conduct research on data-driven modeling of transportation systems