Internship: Learning

"Are you looking for an exciting internship where you can make a direct impact on the development of our IT professionals? PostNL offers you the opportunity to contribute as an intern in Learning & Development (L&D) by helping to establish brand-new training programs within our IT department."

Role OverviewIn the contemporary landscape, deep learning methodologies are increasingly being utilized across various sectors, particularly within radar technology. Within this domain, deep learning is often employed for classification tasks that rely on 2D representations of radar data, such as Inverse Synthetic Aperture Radar (ISAR) imagery or...

Job OverviewTNO is seeking a highly motivated and skilled intern to join our Radar Technology department. As a deep learning intern, you will work on a challenging project that involves applying recurrent neural networks to radar data analysis.Key ResponsibilitiesInvestigate the use of temporal structure in radar clutter and interference for improved...

Role Overview In the contemporary landscape, deep learning methodologies are being harnessed across various sectors, including radar technology. Within this domain, deep learning is predominantly utilized for classification tasks that rely on 2D representations of radar data, such as Inverse Synthetic Aperture Radar (ISAR) imagery or spectrograms, which...

Role Overview In the contemporary landscape, deep learning methodologies are increasingly utilized across various sectors, including radar technology. Within this field, deep learning is predominantly employed for classification tasks based on 2D visualizations of radar information, such as Inverse Synthetic Aperture Radar (ISAR) imagery or spectrograms,...

"Are you looking for an exciting internship where you can make a direct impact on the development of our IT professionals? PostNL offers you the opportunity to contribute as an intern in Learning & Development (L&D) by helping to establish brand-new training programs within our IT department."

Role OverviewIn the contemporary landscape, deep learning methodologies are increasingly being utilized across various sectors, particularly within radar technology. Within this domain, deep learning is predominantly employed for classification tasks utilizing 2D representations of radar data, such as Inverse Synthetic Aperture Radar (ISAR) imagery or...

Role Overview:In the contemporary landscape, deep learning methodologies are being harnessed across diverse fields, notably within radar technology. Within this domain, deep learning is predominantly utilized for classification tasks based on 2D representations of radar data, such as Inverse Synthetic Aperture Radar (ISAR) imagery or spectrograms, which...

Role Overview: In the contemporary landscape, deep learning methodologies are increasingly being harnessed across various sectors, particularly within the radar technology field. Within this domain, deep learning is predominantly utilized for classification tasks that rely on 2D representations of radar data, such as Inverse Synthetic Aperture Radar...

About the RoleTNO is seeking a highly motivated and skilled individual to join our team as a Deep Learning Intern. As a member of our Radar Technology department, you will be working on the application of deep learning techniques to analyze and process radar data.Key ResponsibilitiesDevelop and train deep neural networks to analyze and process radar...

Job DescriptionAbout the RoleWe are seeking a highly motivated and skilled intern to join our team at TNO, a leading research organization in the field of radar technology. As a deep learning intern, you will work on a project that focuses on the application of deep learning techniques to radar data analysis.Key ResponsibilitiesDevelop and implement deep...

**The Role**: We are seeking a dynamic intern with a flair for Machine Learning to join us to develop a machine-learning model for acoustic data. If you're a master's degree student, excited about AI and have some experience with Python, PyTorch, and Signal Processing, this opportunity is perfect for you! **This internship is f**or you, If you**: - Want to...

Job DescriptionAbout the RoleWe are seeking a highly motivated and skilled intern to join our team at TNO, a leading research organization in the field of radar technology. As a deep learning intern, you will work on a challenging project that involves applying deep learning techniques to analyze and process radar data.Key ResponsibilitiesDevelop and...

Job DescriptionAbout the RoleWe are seeking a highly motivated and skilled intern to join our team at TNO, a leading research organization in the field of radar technology. As a deep learning intern, you will work on a challenging project that involves applying deep learning techniques to analyze and process radar data.Key ResponsibilitiesDevelop and...

Sales & Marketing Internship (m/f/d)Duration: 5 - 6 monthsLocationDen HaagHours40 hours per weekFieldConsulting ServicesAre you seeking an internship that offers diverse projects where you can showcase your enthusiasm, ambition, and communication skills? If so, continue reading.We are looking for support in our marketing and sales initiatives within our...

At Royal HaskoningDHV, we offer a unique opportunity for students to gain work experience in the aviation sector. Our internship program is designed to provide a comprehensive learning experience, allowing you to develop your skills and knowledge in a dynamic and international work environment.What we offerA challenging and rewarding internship experience in...

What will be your role? Radar observations are hampered by reflections from the background surrounding an object of interest (so-called radar clutter) and sometimes interference of other emitters. Radar clutter may exhibit some temporal structure, e.g., radar reflections from rolling sea waves or from the rotating blades of a wind turbine. Also interference...

Nowadays, deep learning techniques are used in a wide variety of domains, including the radar domain. In the radar domain, deep learning is primarily applied for classification based on some 2D representation of the radar data, e.g., an Inverse Synthetic Aperture Radar (ISAR) image or a spectrogram (i.e., an image of signal frequency content versus time)....

Role Overview In the realm of deep learning, the availability of extensive labeled datasets is crucial for optimal performance. However, in radar applications, such datasets can often be limited. By harnessing the insights of domain experts, we aim to enhance the training methodologies and overall efficacy of models even when working with smaller labeled...

Role Overview In the realm of deep learning, the availability of extensive labelled datasets is crucial for optimal performance. However, in radar technology, such datasets can often be limited based on specific applications. By harnessing the insights of domain experts, we aim to enhance the training methodology and overall efficacy of models that...