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this project. This is a unique opportunity to study the signals that generate learning and potentially bridge a longstanding gap between how artificial and real networks learn. The Department of Neuroscience
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processing, multimodal signals processing and fusion; Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow) with several years of practice; First-author peer-reviewed published
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. Excellence in written and oral communication, analytical, planning, and time management skills. Desirable A track record of successfully managing multidisciplinary teams in the context of multi-partner
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separation processes. Strong attention to detail, excellent organizational skills, and exceptional verbal and written communication abilities are essential. The candidate should be capable of working both
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communication are regulated (1-3). The successful candidate will focus on the dynamics and molecular mechanisms of the Interplanar Amida Network (IPAN) – a membrane protrusion network – using a multidisciplinary
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ensuring the technological transfer of research outcomes. This role requires significant contributions to publications and active participation in the scientific community. Main Tasks and responsibilities
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that also act as green energy producers driving the societal transition towards net zero. In this position, you will build on your expertise in IoT and low-power computer and communication systems to research
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¢Hands-on experience with mouse models of inflammation, neurodegeneration, or retinal degeneration â¢Strong written and verbal communication skills, demonstrated through peer-reviewed publications and
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responsibility in the lab and to supervise students Very good communication skills in English We offer: The successful candidate will be hosted by the junior research group (Epi-)Genetic Regulation of Fungal
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Good written and spoken English skills Experience in the presentation and publication of research results Good communication and information behaviour, goal-oriented and structured way of working