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Diploma) in the field of physics and PhD degree outstanding specialized knowledge in the field of astrophysical surveys and data reduction comprehensive expertise in the fields of astrophysics, data science
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of interest include, but are not limited to: AI methods that meet the complexity of living systems, high-dimensional machine learning for biology, statistical machine learning, AI‑driven laboratory automation
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collaboration with partners at the Göttingen Campus and the newly established Lower Saxony Research Center for Artificial Intelligence and Causal Methods in Medicine (CAIMed). Applications from candidates working
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experimental planning, bioinformatic consulting, and in-depth data interpretation, where applicable Your qualifications Master’s degree or PhD in Bioinformatics, Computer Science, Applied Statistics, or a
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to molecular mechanism. New experimental and computational methods, including data and deep-learning driven approaches to study complex biological processes in the context of cells, organisms, communities and
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on solid-state NMR spectroscopy and its method development. However, research may also focus on other current areas of analytical chemistry such as multidimensional spectroscopy, spatially and time-resolved
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Master Thesis - Development of ligand conjugated lipid nanoparticles for targeted T cell delivery...
nanoparticles carrying targeting ligands for enhanced cell specificity. Your tasks Optimization of the targeting ligand conjugation to nanoparticle surface (conjugation chemistry parameters, purification methods
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doctorate degree / submitted doctoral thesis (equivalent to MD or MD / PhD), will undergo specialty training at Leipzig University Medical Center (preferably in Cardiology, Endocrinology, Laboratory Medicine
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the interdisciplinary scientific structure. An interest in research questions within oral medicine, knowledge of orofacial biomechanics, numerical analysis, methods within artificial intelligence and modeling
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plants. In addition to in-depth knowledge of botanical systematics, the application of state-of-the-art methods such as high-throughput sequencing is explicitly desired as part of the current and future