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research environment for biophysics. Our group combines molecular dynamics simulations with machine learning techniques to understand how proteins, biomembranes, and small drug-like molecules interact
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magnetoencephalography (MEG) and behavioral tests Data analysis using Matlab or Python (speech-brain interactions, synchronicity measurements, connectivity measurements between sources) Presentation and publication
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aspirations align with its academic focus Transcript of all modules and results from university-level courses taken Early application is highly encouraged, as the applications will be processed upon reception
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materials synthesis, advanced operando characterization, and lab scale testing. We use robotic, high-throughput methods, and data science to accelerate novel sustainable materials discovery. PhD Position
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. The university is a family-friendly university. We welcome applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status
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transplantation. PhD candidates are employed by university and work in an international research environment with personalized supervision and structured doctoral training, including courses, seminars, and journal
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software engineering, computer science, data science, bioengineering, bioinformatics, engineering, physics or related Experience in either machine learning or computational biology. Interest in both
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communicate results clearly (short reports, presentations, well-documented scripts). Comfort reading and synthesizing scientific literature and translating it into implementable workflows. Language skills
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topic, and explaining how your qualifications and aspirations align with its academic focus Transcript of all modules and results from university-level courses taken Early application is highly encouraged
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individual working time arrangements, vacation courses for the children of our employees, and good support in finding a place in a daycare center at the Kiel site Support services for professional and personal