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Field
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POLARIS doctoral network POLARIS is a European Marie Skłodowska-Curie Doctoral Network focused on accelerating therapy development for leukodystrophies: rare genetic disorders affecting the brain's
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://www.microman4health.eu/ ). The described open position has the topic “EDM Machining-State Analysis from Discharge Signal Data” and is supervised by Prof. Dr. Andreas Schubert. This network focuses on developing data
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to brain networks and psychosocial systems”, PN-IV-P6-6.1-CoEx-2024-0139. Where to apply E-mail [email protected] Requirements Research FieldAllEducation LevelMaster Degree or equivalent Skills
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Description FlexCAT is an international Marie Skłodowska-Curie Actions (MSCA) Doctoral Network focused on developing innovative strategies to study and target intrinsically disordered regions (IDRs) in proteins
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vivo characterisation of the generated nanobodies, including assessment of their affinity, specificity, modulatory effects, stability and biodistribution. Through the POLARIS network, you will also gain
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://www.microman4health.eu/ ). The described open position has the topic “Laser Beam Micromachining for Point-of-Care Diagnostic Moulds” and is supervised by Prof. Dr. Andreas Schubert. This network focuses on developing data
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interconnects for next-generation AI compute clusters. Information The smart optical networks lab (SONL) at the Electro-Optics Communication (ECO) group at Eindhoven University of Technology is recruiting for a
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tools for the processing of signals or images acquired with biomedical sensor networks (cardiology, neurosciences) or in geosciences (seismology and marine ecology), but also in wireless communications
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approaches where required. Perform electrical and high-frequency measurements to assess device behaviour, signal characteristics, temporal response, repeatability and device-to-device variability. Acquire and
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of classical telecom networks for quantum communication and networking. In contrast to classical optical signals, quantum states are extremely fragile and degrade rapidly due to loss, noise, and decoherence