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collaboration with key national partners, including the State Secretariat for Migration (SEM), the State Secretariat for Economic Affairs (SECO), and a wide network of stakeholders across Switzerland. Job
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and early-stage manufacturing is highly desirable. Proactive, communicative, and comfortable navigating ambiguity in environments. We value humble ambition, intellectual curiosity, and a mindset
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recovery trajectories and injury patterns. Integrate personalized physiological measurements into a recovery prediction model, while adapting Bayesian Neural Networks for SCI data and analyzing the impact on
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at international conferences and within collaborative networks Profile PhD in Computer Science, Bioinformatics, Biomedical Engineering, Applied Mathematics, or a related field Proven expertise in image analysis (e.g
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microbiology/bioinformatics or nutrition (essential), experience with metagenomics (desirable), bioinformatics (experience using R or Python), multi-omics, and biochemistry. Communication capability in English
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, Napier, C, Menon, C (2019) Lower Body Kinematics Monitoring in Running Using Fabric-Based Wearable Sensors and Deep Convolutional Neural Networks , Sensors, Vol. 19, 18pp Job description We expect you to
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exploitation for network design. The SCF staff works closely with the Lab Automation Facility (LAF) team, which develops and maintains complex robotic setups integrated with readout technologies such as high
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research community, expand their personal networks, and advance their own projects. As a fellow, you will be part of the lively and active research environment at the University of Basel and take part in