Praktikant (m/w/d) Learning & Development Operations – Learning Management

In manufacturing, a wide variety of use cases exist where Deep Learning (DL) and Machine Learning (ML) are successfully applied. Examples of use cases include the production of rockets, stem cells to fight blood cancer, optics, or lightweight components. In particular, tabular and image data are recorded during production. In the context of the thesis, DL -...

Die Abteilung Hochleistungszerspanung im Bereich Prozesstechnologie am Fraunhofer IPT in Aachen forscht unter anderem an KI-Lösungen für die Zerspanung. Konkret wird Deep Learning zur Analyse mikroskopischer Aufnahmen von Zerspanwerkzeugverschleiß genutzt. Im Anwendungsfall werden die Bilddaten durch maschinenintegrierte Mikroskope zunächst...

In der Produktion existieren unterschiedlichste Anwendungsfälle, bei denen Deep Learning (DL) und Machine Learning (ML) erfolgreich eingesetzt werden. Beispiele von Anwendungsfällen stellen die Produktion von Raketen, Stammzellen zur Bekämpfung von Blutkrebs, Optiken und Leichtbauteilen dar. Dabei werden in der Produktion insbesondere tabulare Daten und...

Du spielst eine zentrale Rolle bei der Bereitstellung von technischem und didaktischem Fachwissen zur Unterstützung themengebundener Arbeitsgruppen bei der Konzeption von E-Learnings - Du erstellst abwechslungsreiche E-Learninginhalte mit Hilfe des Autorentools Articulate Storyline 360 für unsere Digital FEV Academy - Du übernimmst die Direktansprache und...

At the Fraunhofer IPT in Aachen, we work with more than 530 employees every day to make the production of the future more digital, more flexible and more sustainable. In the department , we deal with high-quality requirements in the metal cutting industry, especially in highly regulated sectors such as aerospace. As part of your thesis, you will investigate...

The optimization of production processes has traditionally been based on human intuition, making process optimization costly and severely limiting its complexity. The consequences are inefficiencies and non-optimal process performances. Bayesian optimization and active design of experiments promise to identify optimal parameters and operating points in a...

Would you like to play a critical part in the next revolution of human-computer interaction? The Apple Machine Translation team is building groundbreaking technology that enables connecting people across language barriers. We are looking for an Applied Research Engineer who is passionate about developing and optimizing solutions to create, maintain and ship...

Would you like to play a critical part in the next revolution of human-computer interaction? The Apple Machine Translation team is building groundbreaking technology that enables connecting people across language barriers. We are looking for an Applied Research Engineer who is passionate about developing and optimizing solutions to create, maintain and ship...

The Peter Grünberg Institute - Neuromorphic Software Ecosystems (PGI-15) led by Prof. Dr. Emre Neftci explores neuromorphic computing technologies that learn and work like the brain. Our research team designs computing algorithms and architectures from the perspective of neuroscience and their physical realizations in dedicated circuits and devices....

**Your Job**: - Evaluation of the library on spike-based benchmark tasks such as gesture and speech recognition - Documentation and implementation of example code for the use within the neuromorphic research community - Optional: develop custom SNN code on the Graphcore IPU or on CUDA **Your Profile**: - Current master studies in physics, computer...