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, excellent analytical skills experience in research software engineering, programming experience (e.g. R, GAMS) active interest in energy systems analysis and climate change mitigation We expect: the ability
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using experimental data from laboratory setups Validate models through targeted measurements and structured testing procedures Analyse loss mechanisms and system efficiencies under various operating
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to apply Strong interest in infection biology and immunology Educational background in one or more of the following subjects: infection biology, immunology, cell biology, microbiology Practical experience in
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Basic knowledge of analytical chemistry, especially in trace element analysis Experience with inductively coupled plasma mass spectrometry (ICP-MS) Experience with laser ablation ICP-MS is an advantage
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. Your profile: PhD in synthetic biology, natural product chemistry, microbiology, life science, or a related discipline Extensive experience in synthetic biology and molecular biology techniques
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its role in hematopoiesis over life time. We plan to employ inflammatory challenges and will combine experimental animal models with studies on human cells to translate principles and mechanisms
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- conducting processors with respect to practical short-depth (NISQ) quantum algorithms Cooperate and actively work with experimental partners developing quantum processors using these technological platforms
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. The successful candidate will integrate multiscale first-principles modeling, sparse symbolic regression, and adaptive experimental design in self-driving laboratory settings to elucidate both desired catalytic
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crosslinguistic investigations into the morphosyntactic and prosodic forms and pragmatic functions of reprise questions and reprise fragments, using experimental syntactic methods and speech production and
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Registry (SCNIR), enabling clinically driven translational research. We employ state-of-the-art experimental models to study the pathomechanism of severe congenital neutropenia and Shwachman-Diamond Syndrome