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Field
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We are seeking to appoint a talented Bioinformatician to join a team at a pivotal time where you will be developing a predictive algorithm for immunogenicity based off of biological mechanisms. In
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mindset and intellectual curiosity to strengthen and complement the research profile of the Mathematical Insights into Algorithms for Optimization (MIAO) group at the Department of Computer Science at Lund
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, focusing on the development of a mobile DC microgrid for military tactical applications. The role involves designing and implementing advanced control algorithms to coordinate multiple energy sources
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classification algorithms need to be extended with the capability to detect out-of-distribution environments and to autonomously infer their traversability. In this thesis, you will design a semantic
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Statistics section, include: Algorithms , focusing on online and approximation algorithms, graph and parameterized algorithms, string algorithms, data structures, combinatorial optimization, algorithmic
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position within a Research Infrastructure? No Offer Description COMPETITION OPENING DATE DECEMBER 5, 2025 As part of the ERC Advanced Quantum Algorithms, several postdoc positions in the Gull group
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14 Dec 2025 Job Information Organisation/Company CNRS Department CNRS Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage Researcher (R1) Country France
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6 Research Professors (DR2). Competitive entry is open for research themes pertaining to Physics M/F
14 Dec 2025 Job Information Organisation/Company CNRS Department CNRS Research Field Computer science Mathematics » Algorithms Researcher Profile Established Researcher (R3) Country France
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and algorithm implementation. Preferred Skills for this Project TCR Specificity: Experience with immune repertoire tools (e.g., MiXCR, VDJtools, TCRdist) and handling paired-chain sequencing data
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Your Job: Join our team as a dedicated scientist and contribute to our exciting research projects. Our work focuses on models and algorithms for supervised and unsupervised learning. We devise deep