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cooperative perception setting. Semantic-Aware Compression & Network Information Theory: Derive new rate–distortion–reliability bounds, design adaptive codecs that prioritise safety-critical bits, and close
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, curiosity, flexibility, and enthusiasm for research Collaborative team player with a strong drive to lead projects and teams toward impactful results Analytical mindset for designing, implementing, and
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can easily use the setups. The researcher will use the set-ups to analyze the LCE precursor flow, also comparing with results from simulations and theory, and continuously revise and improve
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Computer Science, Information Theory, Physics or related fields High level of mathematical maturity Experience with topics related to quantum LDPC codes and decoding algorithms, or demonstrated ability and
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the area of Software Engineering. Strong programming and analytical skills. Fluent written and verbal communication skills in English are mandatory. Publications in top tier conferences. Commitment, affinity
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Netherlands and Turkey. It will provide rich and compelling ethnographic evidence of everyday practices and will generate theories of social institutions and a broader theory of remote work and social change. What
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are an accurate and precise worker and possess strong analytical problem-solving skills (creative, critical, thinking out-of-the-box). You can work independently, yet you are also a team player
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apply: Strong interest in Social Justice, Criminal Procedure, Legal Theory and Human Rights preferably with a specialisation on the use of Artificial Intelligence in Governance and Justice Proven ability
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analysis, data modeling, and algorithm development. Experience with environmental analysis or microplastic research is a plus but not required. Strong analytical and problem-solving skills, ability
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sets (dynamical system reconstruction), and apply linear control theory to investigate the energy demands of the resulting network architecture. This project will support our goal of testing