17 machine-learning-phd scholarships at PhD Programme "Gene Regulation in Evolution" in Czech
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manufacturing. f) Machine learning in the context of nanomaterials fabrication/discovery. g) 3D nanoscale construction Thesis Title: "Nanoscale Synthesis of Substitutional Doped Graphene driven by Electron Beam
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of Cooperation: PhD fellowship (more information on PhD study programmes at the Faculty of Science here ) Expected Start Date: 1/7/2024 Application Deadline: 25/6/2024 About the Workplace We are looking
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/1992 Coll. on the Czech Academy of Sciences, and the Statutes of the Czech Academy of Sciences for PhD student positions to contribute to projects focused on cancer cell metabolism and the development
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: Developing and enhancing research and innovation capacities and deploying advanced technologies, to fill the research position: FaF_VZ5_85: PhD Student, 0.25 FTE (25 %), Place of work: Hradec Králové
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: Developing and enhancing research and innovation capacities and deploying advanced technologies, to fill the research position: FaF_VZ5_86: PhD Student, 0.25 FTE (25 %), Place of work: Hradec Králové
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(OP JAK), P 1: Research and Development, SO 1.1: Developing and enhancing research and innovation capacities and deploying advanced technologies, to fill the research position: FaF_VZ3_64: PhD Student
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: Research and Development, SO 1.1: Developing and enhancing research and innovation capacities and deploying advanced technologies, to fill research position: FaF_VZ1_31: PhD Student, 0,2 FTE (20 %), Place of
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Development, SO 1.1: Developing and enhancing research and innovation capacities and deploying advanced technologies, to fill research position: FaF_VZ1_34: PhD Student, 0,2 FTE (20 %), Place of work: Hradec
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advantageous but not strictly required. We are looking for a highly motivated team player who is motivated to learn and has excellent English communication skills. Enquiries and Applications: Please send CV and
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: Research and Development, SO 1.1: Developing and enhancing research and innovation capacities and deploying advanced technologies, to fill research position: FaF_VZ1_32: PhD Student, 0,2 FTE (20 %), Place of