E Learning Jobs in Renningen

Edrive components such as stator and rotor have high requirements regarding mechanical and magnetic properties. Due to future recycled content requirements chemical properties are expected to change. The effect of this changed chemical composition on the mechanical and magnetic proper More...

Causal inference is one of the major challenges in AI and a core task in many disciplines. The use of synthetic but realistic data is a promising approach as it allows arbitrary parameter settings and the generation of interventional data.During your thesis you will benchmark the exis More...

Causal inference is one of the major challenges in AI and a core task in many disciplines. The use of synthetic but realistic data is a promising approach as it allows arbitrary parameter settings and the generation of interventional data.During your thesis you will benchmark the exis More...

Auf dem Weg zum vernetzten und sicheren eBike untersttzen Sie die Entwicklung von KIbasierten Regelungsanstzen fr die Fahrdynamikregelung.Sie implementieren hybride Modelle die physikalische Modelle und auf maschinellem Lernen basierende Module integrieren um virtuelle Sensoren zu imp More...

At Ramboll Tech we believe innovation thrives in diverse supportive environments where everyone can contribute their best ideas. As a Lead Machine Learning Engineer you will step up and take responsibility to create cuttingedge AI solutions that empower our business while mentoring ot More...

At Ramboll Tech we believe innovation thrives in diverse supportive environments where everyone can contribute their best ideas. As a Lead Machine Learning Engineer you will step up and take responsibility to create cuttingedge AI solutions that empower our business while mentoring ot More...

Auf dem Weg zum vernetzten und sicheren eBike untersttzen Sie die Entwicklung von KIbasierten Regelungsanstzen fr die Fahrdynamikregelung.Sie implementieren hybride Modelle die physikalische Modelle und auf maschinellem Lernen basierende Module integrieren um virtuelle Sensoren zu imp More...

Model predictive control is a promising advanced control method with the potential to improve the efficiency of electric drives. However due to the huge online computational burden its application is often limited to the use of simplified models and short horizons which sacrifices per More...

During your assignment you will develop reinforcement learningbased tracking controller concepts for permanent magnet synchronous machines (PSMs) with offsetfree tracking.You will evaluate the developed controller concepts in simulation in comparison to stateoftheart controllers.Last More...

During your assignment you will develop reinforcement learningbased tracking controller concepts for permanent magnet synchronous machines (PSMs) with offsetfree tracking.You will evaluate the developed controller concepts in simulation in comparison to stateoftheart controllers.Last More...

At Bosch we have many manufacturing plants with highly automated production lines. In order to minimize costs and rampup time it is crucial to understand the causeeffect relationships between various process parameters and the functionality of the final product. The use of collected m More...

At Bosch we have many manufacturing plants with highly automated production lines. In order to minimize costs and rampup time it is crucial to understand the causeeffect relationships between various process parameters and the functionality of the final product. The use of collected m More...

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...

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...

Generation of synthetic traffic scenarios is an important part of scaling simulationbased verification of safetycritical components in selfdriving vehicles like planner software. This field has seen a multitude of publications within the past 12 years. However most of these methods re More...

Generation of synthetic traffic scenarios is an important part of scaling simulationbased verification of safetycritical components in selfdriving vehicles like planner software. This field has seen a multitude of publications within the past 12 years. However most of these methods re More...

Generation of synthetic traffic scenarios is an important part of scaling simulationbased verification of safetycritical components in selfdriving vehicles like planner software. This field has seen a multitude of publications within the past 12 years. However most of these methods re More...

As the head of Sales Enablement you will be responsible for managing the design development and deployment of the sales process sales training product education sales skills enablement programs sales bootcamps sales academy and sales certification programs that drive elite sales perfo More...

Im Bereich Deep Learning werden eine Vielzahl von verschiedenen Aufgaben adressiert mit dem Ziel einer mglichst hohen Genauigkeit. Dies reicht von kleineren TinyMLAnwendungen auf eingebetteten Systemen bis hin zu groen Sprach/Foundation Modellen in Cloudbasierten Systemen. Eine Kerndi More...

Our customer in the automotive industry has initiated a carveout project to transition an existing unit into an independent company. As part of this project SAP systems will be partially rebuilt adapted and implemented to meet the requirements of the new organization. Reporting framew More...