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Master Thesis - Development of ligand conjugated lipid nanoparticles for targeted T cell delivery...
biological samples' 3D structure and molecular identity. At iBIO, we bring together cutting-edge science from biology, chemistry, engineering, and computer applications. Our overarching aim is to obtain a
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Max Planck Institute of Molecular Cell Biology and Genetics | Dresden, Sachsen | Germany | about 7 hours ago
: Dresden, Saxony 01307, Germany [map ] Subject Areas: Artificial Intelligence, Machine Learning, Applied Mathematics, Biomathematics, Mathematical Biology, Computational Science, Statistics, Numerical
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Study of mathematics, computer science, geoinformatics, physics, electrical engineering, or similar with good to very good grades Strong programming skills in Python with knowledge of frameworks such as
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in Bioinformatics, Computational Biology, Biostatistics, Data Sciences or related discipline. Alternatively, PhD in Molecular Biology, Immunology, Biomedicine or related discipline with extensive
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, or biomolecular systems. The research program should connect to the wider Bonn science landscape and should facilitate close collaborations within the Department and the university’s Transdisciplinary Research
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, computer science or engineering PhD in one of the above fields Proven knowledge and programming experience in at least one high-level language language (including Python) Experience in building web applications
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between individual molecules and cells. The MPI‑CBG shares a research faculty with the Center for Systems Biology Dresden (CSBD ), integrating expertise in biological physics, mathematics, and computer science
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people and nature. We are looking for an internationally recognized scientist (m/f/d) in the field of computer or natural sciences to develop modern technologies for collection-based research with a focus
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interdisciplinary program, HEIBRiDS trains young scientists in Data Science applications within a broad range of natural science domains, spanning from Earth & Environment, Astronomy, Space & Planetary Research
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natural sciences expertise in materials science and materials engineering, in particular methods of computational material science (e.g. DFT, CALPHAD) programming skills, e.g. Python basic knowledge of data