144 web-programmer-developer-"https:"-"https:"-"https:"-"https:" positions at Nature Careers in Germany
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. Successful applicants will be able to establish an internationally visible research program of their own design within our institute. Max Planck Research Group Leader positions offer individuals holding a
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approaches. The successful candidate is expected to apply and/or develop modern biochemical and, in particular, cell biological methods for the observation and functional analysis of physiologically relevant
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the inhibition of collagenase-targeting tools on different collagenases Develop non-cleavable homologs of the collagenase-sensitive probes that block the active site of collagenases EXPECTED RESULTS: Develop novel
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(f/m/x) Our laboratory is dedicated to developing cutting-edge fluorescent probes that target chromatin components for advanced super-resolution microscopy. We investigate how the spatial organization
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regard to teaching, the successful candidate will represent the full spectrum of neurobiology. This includes active participation in Bachelor's and Master's degree programmes, and especially in
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Postdoctoral researcher (m/f/d) in the field of physics, physical engineering, technical computer sc
engineering, mechatronics or similar, with a completed doctorate Knowledge of the design, development, construction and characterisation of new sensors Knowledge and practical experience in the field
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approaches Encouragement to pursue own research ideas Opportunity to develop an independent scientific profile Possibility to acquire funding to support future projects REQUIREMENTS: Highly motivated and
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engineering Knowledge of machine learning (deep learning) Basic knowledge of computer science or software development, e.g., using Java, Python, or C++ Good communication and information skills, goal-oriented
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, workshops, libraries and administration. The Max Planck Institute for Plant Breeding Research conducts basic research on plants and their development using a wide variety of methods, in particular molecular
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areas of energy, infrastructure, environment, materials, and chemistry and process engineering. The project aims to develop a digital twin (DT) for predicting and managing corrosion and microbially