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- MASARYK UNIVERSITY
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- J. Heyrovský Institute of Physical Chemistry of the CAS, v. v. i.
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this fascinating process. You'll have access to state-of-the-art cryo-EM instruments at our local core facility, available for regular use. Plus, comprehensive training in cryo-EM techniques will be provided
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chemistry of low-temperature plasma for a wide range of applications, including in collaboration with industry. The group is active in the application areas of gas conversion, deposition processes
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, including in collaboration with industry. The group is active in the application areas of gas conversion, deposition processes, characterization and development of advanced products for the electrical
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(OncoPharm), project ID CZ.02.01.01/00/23_021/0008442, within the Operation Programme Johannes Amos Commenius (OP JAK), P 1: Research and Development, SO 1.1: Developing and enhancing research and innovation
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Research Group: https://www.ceitec.eu/protein-structure-and-dynamics/rg110 Information about the application process: https://www.ceitec.eu/ls-mm-phd/ Application webpage: Where to apply Website http
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, v. v. i., Královopolská 2590/135, 612 00 Brno announces a selection procedure Job title: PhD Student Scientific department: DBSMO Project: LUAKR25078, Precision Control of Mitochondrial DNA via
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for various activities • Working in a stable, prestigious research institution of international importance Selection process Are you interested in the offer? Send us your application through the REPLY button at
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languages and/or dedicated programs for data acquisition and processing 4. Soft skills: presentation skill, team working ability Where to send your application: COMPANY: J. Heyrovský Institute of Physical
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) Opportunity to work and live in a modern and dynamic city (for more information on costs of living, you can refer to Numbeo ) Welcome Office provides support with your relocation to Brno Application Process
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and improve computational methods for the pre-processing of MS data, exploring new algorithmic approaches for signal detection, deconvolution, and feature extraction. Machine Learning for Chemical