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be highly interdisciplinary. Two different profiles are possible for this position: either a profile in engineering sciences or biomedical physics, with a strong desire to learn about microbiology
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. The institute offers a multidisciplinary environment that bridges fundamental discoveries with applied preclinical research. In partnership with IMATHERA (Preclinical Imaging and Radiotherapy Platform
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computational research. In particular: • A high-quality imaging platform • A dedicated biocomputing hub that guarantees reliable data storage, management, and advanced analytical capacity. Our laboratory is
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communication skills and a collaborative mindset Full professional proficiency in English Good to have: Hands on experience with at least one paradigm for quantum optimization with quantum computing (QAOA
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the EU for (a) the strategic training of excellent young researchers in an emerging, interdisciplinary field and (b) the rational development of prototype devices involving doping strategies, inspired by
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using the KM3NeT detectors • Data analysis from SVOM instruments as well as images from the COLIBRI telescope • Participation in KM3NeT shifts and service tasks (calibration, construction, processing), as
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approaches (overexpression, invalidation), transcriptomics (bulk RNAseq, single cell RNAseq), biochemistry and imaging, as well as bioinformatic analyses. This project should enable the identification of key
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 8 days ago
? No Offer Description Magnetic soft materials are capable of tether-free, instantaneous and “programmable” shape change in a magnetic field, which is promising for various biomedical and industrial
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Arts et Métiers Institute of Technology (ENSAM) | Paris 15, le de France | France | about 5 hours ago
. Machines must be equipped in-situ with smart sensors and supported by systems that can process such as images and time series, in real time. Machine learning and AI have become essential for driving
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? How can minimally invasive, bioorthogonal click chemistry-based labeling strategies be further developed and optimized for live-cell imaging, super-resolution microscopy, and cell-specific proteomics