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Your Profile: An excellent master’s degree with strong background in nano science, materials science, chemistry, chemical engineering, physics or related Experience with modeling of reaction kinetics
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analysis problems, especially tracking the motion of objects, which are driven by real applications in life science research Developing solutions to integrate large foundation models into microscopy image
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. The outstanding research projects analysing the molecular, cellular and organismal basis of infections and immune reactions in our graduate school programme are supported by a flexible curriculum structure
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mechanisms occurring in these materials and their synthesis over all relevant length scales (e.g., cutting-edge ab initio methods, atomistic simulation methods, multi-scale modelling, machine learning) High
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: PhD position in the Institute of Clinical Neuroimmunology (m/f/x) in Planegg-Martinsried Your tasks and responsibilities: Culture and FACS analysis of human immune cells Apply cellular, molecular and
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now. As a result of this success and the dedicated community of plant enthusiasts, millions of plant observations are available, their numbers growing. These observations are useful for modelling
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Description Are you interested in developing novel scientific machine learning models for a special class of ordinary and differential algebraic equations? We are currently looking for a PhD
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kinetic modeling Experience with (or willingness to learn) 3D modeling, CAD software, and 3D printing What We Offer: TV-L (E13, 67%) collective agreement ( Current TV-L pay table [pdf-Datei] ) A three-year
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PhD position (f/m/d) “How to regulate the duration of mitosis and control cell fate decisions” Centre for Molecular Biology (ZMBH) Heidelberg University, Germany We are seeking highly motivated PhD
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identify the necessary solutions. The findings should also remain valid under different climate change scenarios. With its global state-of-the-art energy system model, ICE-2 at Forschungszentrum Jülich