Internship in Deep Learning - Berlin, Deutschland - Bayer

Bayer

Geprüftes Unternehmen

Berlin, Deutschland

vor 3 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

PraktikumSHIP

Beschreibung

At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where ,Health for all, Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining 'impossible'. There are so many reasons to join us. If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice.

Internship in Deep Learning & Generative Models for Computer vision (M/F/d)

YOUR TASKS AND RESPONSIBILITIES

Support in development of deep generative models for medical imaging in the oncology space
Conceptualization, implementation, and validation of algorithms
Working closely supervision of a senior member of the team
Publish your work in peerreviewed conferences

WHO YOU ARE

Pursuing a Master degree in Computer Science, Computer Vision, Machine Learning, and Applied Mathematics or Physics
Profound knowledge in Pytorch or Tensorflow framework is essential
Excellent Python programming skills
Basic knowledge of working with medical images (e.g. MRI, CT, histopathology imaging) is a plus
Basic knowledge of working in Cloud environment (e.g. GCP, AWS)
Prior knowledge and experience with generative models (e.g. GANs, VAEs, Stable Diffusion Models) is a highly desirable
Fluent in English; both written and spoken

DE-LI

YOUR APPLICATION

This is your opportunity to tackle the world's biggest challenges with us: Maintaining our health, feeding growing populations and slowing the rate of climate change.

You have a voice, ideas and perspectives and we want to hear them. Because our success begins with you. Be part of something big. Be Bayer.

Location:
Berlin

Division:
Enabling Functions

Reference Code:788266