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Company description The Roeffaers Lab at KU Leuven develops cutting-edge microscopy techniques to address key challenges in environmental science, catalysis, and biomedical research. Our team
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computational biology infrastructure at the Department of Cellular and Molecular Medicine. Collaborations are in place locally to access additional facilities and techniques including state-of-the-art optical
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, preferably in Python, Fortran, Matlab or R #experience in the environment of High Performance Computing (HPC) is desirable, but not mandatory #capability to work in a team but able to formulate and carry out
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integrated approach, combining genomics, computational and structural biology and neuroscience, as well as data and decision sciences. HT is an interdisciplinary research institute, created and supported by
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and applying innovative computational methods to analyze complex genomic and immunological datasets. Candidates must hold a recent Ph.D. in Bioinformatics, Computational Biology, or related field
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biology, computational fluency, and proven collaborative leadership are all absolutely required for this position. We have strong and long-standing alliances with the computational laboratories of Moritz
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field Strong publication record and experience in basic science or translational research Background in molecular oncology, tumor biology, liver-focused or immune-focused research, or computational
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Postdoc "Interferometric SAR Data Processing and Analysis for Implementation in the 3D-ABC Founda...
Completed doctoral degree in remote sensing, signal processing, computer science, or other closely related fields Experience in handling, processing, and analysing large amount of data, especially large-scale
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The Department of Animal and Veterinary Sciences calls for applications for a 4-year position as a postdoctoral researcher in processing and development of new sustainable feed sources. The position
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Aarhus University invites applications for a postdoc position at the Department of Molecular Biology and Genetics. The project focuses on applications on de novo protein design and its applications