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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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. 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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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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FUBLUC (ca. 20 participants) that aims to (i) understand the blue carbon potential of Fucus meadows in the Baltic Sea and (ii) to develop methods to restore Fucus algal meadows in degraded habitats
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represent a bioinformatics research topic in research and teaching, using innovative methods such as new approaches for single-cell analyses, the use of artificial intelligence, innovative statistical methods
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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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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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(dry lab) approaches Be part of Geman Center of Cardiovascular Research (DZHK) and the collaborative research center CRC1550 "Molecular Circuits of Heart Disease". Your Profile PhD in molecular biology
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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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Junior Research Group in the field of Metabolic Plasticity. What we are looking for in applicants: We are looking for established scientists in an early career phase (up to 6 years post-PhD) who