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-power, low-latency communication protocols using LPWAN technologies for distributed sensor deployments Ensuring resilient, real-time data acquisition from distributed sensor networks in challenging
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thesis project. Your profile We are looking for a highly motivated candidate with a background in machine/deep learning, and communication networks. The required qualifications include: PhD in computer
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and beyond. The present postdoc will work with: Mass balance of contaminant influx from harvest of marine mammals into communities in Greenland and other Arctic nations Assess concentrations in key
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scientific foundation for animal welfare in Europe. The work will be part of projects in The European Partnership of Animal Health and Welfare. This will enhance your international professional network
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. Proficient written and oral communication skills in English are required, along with the ability to convey complex ideas clearly to both technical and non-technical audiences. On a personal level, you are
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profile as postdoc for both positions We seek a candidate with academic qualifications at PhD level You must have strong interpersonal and communication skills in English and demonstrate your ability
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and LC-MS. Basic skills in computational protein structure analysis and bioinformatic techniques. Self-motivated, pro-active, team- and goal-oriented personality. Excellent communication skills
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of responsible and human-centered AI in software engineering (AI4SE). The AI4SE1DK project addresses urgent industry needs by investigating how Large Language Models can be effectively, ethically, and sustainably
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computational models to map co-expression networks and predict systemic disease transitions. Characterise intestinal microbiome changes and their correlation with inflammatory diseases. Computational modelling
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electrochemical characterization Experience with either electrolysers or flow batteries Experience/engineering skills with construction of experimental setups Good skills in communication of research results