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hands-on experience with 2-photon imaging techniques Experience analyzing time-series data, preferably from neuroimaging or behavioral studies Excellent communication skills and ability to work in a
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computational microbiome research. The specific focus of the project will be tailored to the candidate’s interests and will align with the objectives of the aforementioned consortia. These projects work at the
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live in. Your role Our collaborative group, composed of the MDM group at the University of Luxembourg, led by Prof. Letellier and the laboratory of Prof. Tejpar at the KU Leuven, investigates stromal
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who wish to pursue research specifically in the following areas: (1) Mouse embryo morphogenesis; (2) Mouse genetics and gene regulation; (3) Single cell RNA-sequencing with bioinformatic analysis; (4
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. The position will be available for a 3-year period. You will be part of a research environment focusing on applying digital solutions to map spatial and temporal variability of crop growth as well as evaluate
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biology as well as epigenetics. Prior experience in cell culture is essential. Additional experience in hematology and highthroughput data analysis would be an asset. The candidate is expected to work
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of efficient and robust neural networks. About your role: Independent research in the area of mathematics of machine learning, focusing on the development as well as the analysis of different algorithms and
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ambitious research group that focuses on genetic, molecular, and functional analyses of B cell and antibody responses. Your work will involve laboratory-based research, extensive data analysis, and project
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CRISPR/Cas9, cloning, protein biochemistry, as well as work with cell cultures and primary patient samples (S1/S2) Conducting and establishing experiments with in vivo mouse models Analysis and
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Polymers: The Role of Glass Fibres". Tailored bench-scale fire testing, e.g. UL 94 combined with IR camera and burning scale, and cone calorimeter investigations Thermal analysis (thermogravimetry), thermal