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microbiome data and/or analyzing sequencing data in a high-performance computing environment. Experience in BSL2 laboratory and familiarity with ELISA techniques. Demonstrated fieldwork experience in community
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experimental and computational research in the areas of novel aviation and maritime propulsion (combustor design, thermo-acoustics, SAF, H2, ammonia) as well as hydrogen mixtures and refrigerant safety
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dynamics simulations, and some familiarity with quantum mechanics calculations. Proven high-performance computing (HPC) experience and proficiency in Python are essential for success in this role. You will
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LevelPhD or equivalent Skills/Qualifications The selected candidate will perform the following duties: - Experimental: generation and management of organoid models derived from patients, performance of high
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widely accepted top institute in Asia (e.g. ranked #6 in 20025 QS Asia University Rankings) with a high degree of global academic reputation (e.g. ranked #36 in 2025 QS World University Rankings
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Researcher (R3) Country Morocco Application Deadline 17 Dec 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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equipment: 10x Xenium, Visium HD and Chromium X, PhenoCycler Fusion, NextSeq 2000 and high-performance computing resources. Collaborate with internationally recognized leaders in computational neuro-oncology
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, construct high-performance experimental setups, take initiative and leadership, and secure progress of the experimental work on a daily basis. Essential is your internal drive to achieve significant and
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4 Dec 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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Karlsruher Institut für Technologie (KIT) | Karlsruhe, Baden W rttemberg | Germany | about 1 month ago
energy into acoustic waves, which can then be used to generate electricity or manage heat at the microscale. The goal is to improve the performance, efficiency and scalability of these microscale systems