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Field
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Python and/or C/C++/Fortran. Strong motivation to work in an interdisciplinary environment at the interface of theoretical chemistry and quantum technologies. High level of self-motivation, commitment, and
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; collaborating with municipalities, urban planners, designers, and residents in model co-creation and validation workshops; contributing to the development of an interactive, publicly accessible web interface (e.g
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for strain improvement. The project will combine cell biology, genome editing and quantitative physiological studies in laboratory bioreactors. The position offers a unique opportunity to work at the interface
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: Experience with electrochemical techniques applied to the characterization of interfaces and charge-transfer processes; nanostructured materials and thin films; surface functionalization and aptamer, antibody
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and mentorship at the interface of human genomics, rare disease research, and functional biology while supporting the successful execution of the funded research program. Job Description Primary Duties
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advanced bioinformatic analysis; c) excited to work at the interface of human cohorts with robust epidemiologic and long-term outcomes with experimental systems; d) aim to transition to independent
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to accelerate the development of next-generation therapeutics for ocular neuropathic diseases. We are seeking highly motivated trainees who are excited to work at the interface of neuroscience, stem cell biology
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 1 month ago
The position offers the opportunity to work at the interface of regenerative biology, epigenetics, organoid technology and disease modelling, with access to extensive state-of-the-art core facilities and
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). Experience with conducting human-subjects experiments, especially involving neuroscience, biomechanics, human-computer interaction, or brain-machine interfaces. Experience with dynamic modeling, including
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tube of blood. The successful candidate will lead the development of new computational and AI-driven concepts for cfRNA analysis, working at the interface of wet lab, dry lab, and the clinic. We