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Internal Number: 7090504 Assistant/Associate/Full Project Scientist - Instrumentation Microscopy Advanced Bioimaging Center Department of Molecular and Cell Biology Position overview Position title
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. The successful applicant will develop a predictive pipeline using atomistic modeling and machine learning to identify optimal "seeds" for directing crystal growth, followed by rigorous experimental testing
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at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The aim is to develop machine-learning models that describe how
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endanger the performance and lifetime of these reactors. We will develop a predictive multi-scale modeling framework to understand and mitigate this damage. At the atomic scale, molecular dynamics
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molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and biology of infection. For more information, please see https://www.scilifelab.se/data-driven/ddls-research
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multi-disciplinary lab that utilizes various techniques (analytical chemistry, biochemistry, molecular and cellular biology, NGS sequencing, nanopore sequencing, proteomics, and bioinformatics) in
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previous laboratory experience required. Willingness to routinely work with mice. Experience with animal models, molecular biology methods, cell culture and protein biochemistry required. Work with iPSC
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for digital twin: 3D model learning, prediction models from imaging and molecular data, model-based simulation coupling, and uncertainty-aware outputs for lab/clinical validation. Work with 3D datasets, time