File Documents Jobs in Renningen
File Documents Jobs in Renningen
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Job Description Tasks Coordination and oversight of all tasks related to type Investigation in concurrence with internal stakeholders and the competent authority Advising of all departments of the design organisation in all questions regarding airworthiness operational suit More...
Job Description: The main skills we are looking for Experience in System Engineer EWIS – CS25 H Experience in Wiring Diagram Experience in Cable Harness Very important to create the documents with requirements as per EASA Standards
Phd - Quantum Computing For Materials Design
Quantum computing potentially offers orders of magnitude faster quantummechanical calculations for materials simulation at a much higher accuracy than classical abinitio methods on conventional highperformance computers. It also allows true computational design of e.g. new materials t More...
Phd - Statistical Methods For The Safety Of Automated Driving
Autonomous driving is one of the most demanding research topics of our time. The enormous complexity of realworld driving situations gives rise to an outstanding challenge: How can it be assessed whether an automated driving system is safe to drive without any supervision knowing tha More...
Phd - Statistical Methods For The Safety Of Automated Driving
Autonomous driving is one of the most demanding research topics of our time. The enormous complexity of realworld driving situations gives rise to an outstanding challenge: How can it be assessed whether an automated driving system is safe to drive without any supervision knowing tha More...
Phd - Statistical Methods For The Safety Of Automated Driving
Autonomous driving is one of the most demanding research topics of our time. The enormous complexity of realworld driving situations gives rise to an outstanding challenge: How can it be assessed whether an automated driving system is safe to drive without any supervision knowing tha More...
Phd - Statistical Methods For The Safety Of Automated Driving
Autonomous driving is one of the most demanding research topics of our time. The enormous complexity of realworld driving situations gives rise to an outstanding challenge: How can it be assessed whether an automated driving system is safe to drive without any supervision knowing tha More...
Phd - Statistical Methods For The Safety Of Automated Driving
Autonomous driving is one of the most demanding research topics of our time. The enormous complexity of realworld driving situations gives rise to an outstanding challenge: How can it be assessed whether an automated driving system is safe to drive without any supervision knowing tha More...
Phd - Data-driven Self-assessment For Multimodal Perception In Automated Driving
Datadriven methods are ubiquitous in todays autonomous systems. An important task of environmental perception is the detection classification and tracking of relevant objects in the scene. We are particularly interested in environment perception using point cloud like data (e.g. lidar More...
Phd - Property Prediction For Embedded Ai Systems
Recent advances in deep learning (DL) provide high accuracy for various tasks targeting a wide range of applications ranging from Tiny ML that typically run on low power devices up to foundation and large language models running on cloudbased systems. One core discipline in the develo More...
Phd - Data-driven Self-assessment For Multimodal Perception In Automated Driving
Datadriven methods are ubiquitous in todays autonomous systems. An important task of environmental perception is the detection classification and tracking of relevant objects in the scene. We are particularly interested in environment perception using point cloud like data (e.g. lidar More...
Phd - Data-driven Self-assessment For Multimodal Perception In Automated Driving
Datadriven methods are ubiquitous in todays autonomous systems. An important task of environmental perception is the detection classification and tracking of relevant objects in the scene. We are particularly interested in environment perception using point cloud like data (e.g. lidar More...
Phd - Data-driven Self-assessment For Multimodal Perception In Automated Driving
Datadriven methods are ubiquitous in todays autonomous systems. An important task of environmental perception is the detection classification and tracking of relevant objects in the scene. We are particularly interested in environment perception using point cloud like data (e.g. lidar More...
Phd - Data-driven Self-assessment For Multimodal Perception In Automated Driving
Datadriven methods are ubiquitous in todays autonomous systems. An important task of environmental perception is the detection classification and tracking of relevant objects in the scene. We are particularly interested in environment perception using point cloud like data (e.g. lidar More...
Phd - Cognitive Radar For Automotive Applications
We are seeking a highly motivated PhD candidate to join our team and conduct research in the field of cognitive radar for automotive applications. Typically the hardware and software of automotive radar sensors are initially optimized during development operating independent of the en More...
Analyzing of the customer situation creating process documents concepts and blueprints with a focus on SAP financial modules (FI AA CO CA IM TR BPC).Responsibility for the systemside realization of customer requirements (customizing coordination of addons user exits developm More...
Analyzing of the customer situation creating process documents concepts and blueprints with a focus on SAP financial modules (FI AA CO CA IM TR BPC).Responsibility for the systemside realization of customer requirements (customizing coordination of addons user exits developm More...
Analyzing of the customer situation creating process documents concepts and blueprints with a focus on SAP financial modules (FI AA CO CA IM TR BPC).Responsibility for the systemside realization of customer requirements (customizing coordination of addons user exits developm More...
Phd - Ai-driven Optimization For Hvac Systems Using Knowledge Graphs Llms And Neuro-symbolic Ai
Buildings account for about 30% of global energy consumption with a significant portion used for heating ventilation and air conditioning (HVAC) systems to ensure the thermal comfort of occupants. Most HVAC systems are controlled by rulebased methods which often lack the dynamic flexi More...
Phd - Ai-driven Optimization For Hvac Systems Using Knowledge Graphs Llms And Neuro-symbolic Ai
Buildings account for about 30% of global energy consumption with a significant portion used for heating ventilation and air conditioning (HVAC) systems to ensure the thermal comfort of occupants. Most HVAC systems are controlled by rulebased methods which often lack the dynamic flexi More...
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