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living systems, the biology of organisms, efficient production, and transformation of chemicals, materials, and energy. We translate knowledge within biotechnology, food technology, environmental
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engineering and characterisation of an established thermophilic whole-cell catalyst platform. Your primary tasks will be to: Continue strain engineering of Parageobacillus thermoglucosidasius starting from
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validation in rodent migraine models Close collaboration with computational protein engineers and clinical researchers Data analysis, manuscript preparation, and supervision of students where relevant
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. The ideal candidate will have: Experience in developing novel algorithms. Experience in coding in python and preferably C/C++. Experience in frontend engineering, including but not limited
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physics, chemistry, biomedical engineering, or a related field. Candidates with experience in MRI/NMR, numerical simulations, and quantitative modelling are preferred. Experience with quantum sensing
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processes, building construction and safety, building energy and services, solid mechanics, fluid mechanics, materials technology, manufacturing engineering, engineering design and thermal energy systems
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statistics and in general data science. You - the Post doc - is particularly expected to do research work within civil engineering with a focus on sustainability. Additionally, you will have the opportunity
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Job Description If you are establishing your career as a robotics scientist and engineer and want to work at the cutting edge of autonomous robotic manipulation in harsh, unstructured environments
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candidates with a degree in physics, chemistry or materials science. For Topic 1-3, candidates must have documented skills in atomic-resolution electron microscopy, microfabricated devices, 2D materials
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approaches are transforming how next-generation biologics are discovered and engineered. We are launching an ambitious research program centered on AI-driven generative protein design to develop GPCR-targeting