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Stellenanzeige teilen Are you passionate about understanding how artificial intelligence behaves and how it can be optimized to deliver meaningful impact in medicine? Join an interdisciplinary research environment
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Grant Agreement No. 101312169. Working tasks: The PhD-project DC10 focuses on laser-beam micromachining for manufacturing of moulds for bio-analytical devices. The aim is to optimize scanning strategies
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The objective of this thesis is to implement, analyse and optimize the Fischer-Tropsch synthesis in a biogas-fed Reformer-SOEC-FTS system. Your work will be to develop and validate a model of the
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Research and development in the field of optical communications with a focus on digital signal processing, coded modulation, and telemetry Study and development of methods for cross-layer optimization in
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, among other things, on analytical and human sensory methods for characterizing and optimizing product properties, such as odor, taste, texture and haptics, as well as visual and acoustic appearance. Be
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peripherals in a shared lab space. regular maintenance and operation of the mass spectrometer developing sample work flows and data processing protocols conducting method development and optimization in
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Semiconductor Laboratory of the Max Planck Society (HLL), Garching | Garching an der Alz, Bayern | Germany | about 14 hours ago
) – Quantum Sensors & Qubit Technology to join our team at the earliest possible date on a full-time basis (39 hours/week). Your responsibilities Develop and optimize quantum sensor concepts based on qubit
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laboratory is equipped with industrial systems for cell interconnection and module fabrication, which are used to develop innovative interconnection concepts and optimize lamination processes. The goal
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Research in the fields of channel coding, Internet of Things (IoT), and low latency communication Development of new transmission schemes, protocols and cross-layer optimizations and support contributions
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simulations for glass molding processes, including model setup, meshing, debugging, result extraction, and evaluation. You will also post-process simulation data in Python for optimization and machine-learning