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The Machine Learning for Integrative Genomics team at Institut Pasteur, headed by Laura Cantini, works at the interface of machine learning and biology, developing innovative machine learning
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closely with bioinformaticians, immunologists, and diabetologists to ensure integrated analysis and interpretation; Prepare scientific manuscripts for publication and present findings at national and
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Inquisitive mind and critical thinking A tinkerer and maker mindset (enjoying building things together and sharing) Scientific curiosity, open-mindedness and unquestionable research integrity and ethical
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interdisciplinary, and together we contribute to science and society. Your role Successful candidate will join the Integrative Cell Signalling Group (https://www.uni.lu/lcsb-en/research-groups/integrative-cell
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an integrative approach that combines advanced multiomics, spatial transcriptomics, and structural biology with physiological assessments. By selectively perturbing key gene expression programs during homeostasis
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friction models. Integrating Experimental Data: Collaborate with experimental teams to incorporate data from calcium imaging, confocal microscopy, and high-resolution video recordings. Use experimental data
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waves, thanks to magneto-elasticity (an effect coupling magnetization and strain ). Foreseen advantages are a higher integrability, a higher tunability and even a lower consumption of devices for our
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-tunnel, electrophysiology, analytical chemistry, transcriptomics and bioinformatics. This PhD will focus on studying plant chemical diversity from a broad and integrative perspective and will be part of
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transfer will be developed and validated. The student will implement this approach, integrating spin-orbit coupling and vibronic effects to quantify the influence of chirality on electronic transitions
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a passive backscatter communication system tailored for implantable biosensors. o RF circuit design to efficiently encode and transmit biosensing data based on OECT voltage variations. o Integration