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network automation, resource optimisation, or 5G/6G networks would be a plus. An interest in developing AI-driven solutions for real-time, adaptive network environments. Language skills Good proficiency in
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engineering a strong background in digital design, hardware description languages (e.g. Verilog, VHDL, SystemC), reconfigurable architectures (e.g. FPGA, CGRA) What we expect from you: above-average degree
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publication record #excellent programming skills in Python or at least one other scientific programming language (e.g. FORTRAN, C, Matlab, R) #good knowledge of English (written and oral) #high degree
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modern programming languages are required, as well as experience in computational or mathematical modelling. Experience with the analysis of biological data is an advantage. The candidate should have a
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live in. Your role The PhD candidate will generate and study complex macroscopic flow patterns of LCE precursors, polymerize the precursors into LCEs programmed by the flow patterns, and study the
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individuals and patients with psychotic disorders” (funding period from 2025 to 2028) is German Research Foundation (DFG) funded. The applicant will contribute to the development, evaluation and application
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AI-focused academic courses for master’s and engineering programs and continuing education in AI. The 3IA Côte d'Azur Institute aims for research excellence in the fundamental fields of AI, and in
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electrical engineering Experience and skills · Excellent written and oral communication skills e.g., in publications, reports, and/or presentations · Collaborative skills, initiative, result
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English-language proficiency for both written and verbal communication. Knowledge of French, German and/or Luxembourgish is not required We offer Multilingual and international character. Modern institution with a
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statistics/ mathematic background Strong programming skills in at least one major programming language Interest in applying relevant mathematical modeling techniques A collaborative team player with a desire