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performance. Applicants should possess a Ph.D. degree in marine ecology, molecular ecology and taxonomy, bivalve/shellfish biology, or other marine biology related disciplines. They should have a demonstrated
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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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presentations Your Profile: • Master's degree (or equivalent) in immunology, biology, molecular biology, or a related field • Prior experience with flow cytometry, immunological assays, or molecular biology
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Max Planck Institute for the Structure and Dynamics of Matter • | Hamburg, Hamburg | Germany | 23 days ago
the theoretical and experimental aspects of condensed matter and atomically resolved dynamics, fundamental light-matter interaction, accelerator-based light sources, coherent imaging, coherent controlled molecular
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, carbohydrate-active enzymes, polymer chemistry, spectroscopic methods, material science, 3D-printing, statistical physics and molecular dynamic simulations, formulation technologies. Excellent communication
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). TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. TUD embodies a university culture that is characterized
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the consistent further development of its profile-forming priority research areas Molecular Cell Biology, Neurosciences, Cardiovascular Medicine and Oncology. With its German Centers for Health Research partner
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modelling of materials and machine learning. Experience in atomistic modelling (molecular dynamics, density functional theory) and machine learning is important, as well as a strong interest in pursuing
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protocols and generation of data, we can offer a challenging job in a dynamic research environment. The successful applicant will be placed in the research unit Ruminant Nutrition: https://anivet.au.dk/en
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for