12 beste Stellen als medical data science in berlin – aktuell auf Personalsuche

AI for Science Residency - Machine Learning Resident
Microsoft —Berlin
- Doktorat
- Informatik
- Forschungserfahrung
1 Tag
Data & Software Engineer (f/m/x)
D4L data4life gGmbH —Berlin
- Vollzeit
- Azure
- Informatik
- SQL
- Homeoffice-Möglichkeit
Working Student - Software Engineering (all genders)
dotbase —Berlin
- Teilzeit
- Hybrides Arbeiten
- Informatik
- Master
- Bachelor
Direkt bewerben
Sr. Robotics Software Engineer, Amazon Robotics
Amazon Development Center Germany GmbH —Berlin
- Vollzeit
- Doktorat
- Informatik
- Master
8 Tage
Senior Software Engineer — Real-Time Ad Serving
Zeta Global —Berlin
- Bereitschaftsdienst
- Hybrides Arbeiten
- Java
- AWS
- C++
Senior Embedded Software Engineer (m/f/d)
Feral GmbH —Berlin-Kreuzberg
- Vollzeit
- C++
- Softwareentwicklung
- Produktion
Direkt bewerben
Senior Software Engineer (m/w/d) @ FICUS Health
Merantix —Berlin
- Vollzeit
- Hybrides Arbeiten
- DevOps
- Master
- AWS
- Homeoffice-Möglichkeit
Direkt bewerben
Senior Software Engineer - Backend
Databricks —Berlin
- Azure
- Informatik
- Java
6 Tage
Senior Embedded Systems Engineer (m/f/d), 40h
AssistMe GmbH —Berlin
- Vollzeit
- Informatik
- Master
- Linux
Direkt bewerben
Application Support Engineer — Blockchain Security & AI Automation
Crypto.com —Berlin
- Vollzeit
- Homeoffice
- Informatik
- Künstliche Intelligenz
- Python
Direkt bewerben
Director, Business Development - CE
RxLogix Corporation —Berlin
- Vollzeit
- Homeoffice
- Vertrieb
- Kundenberatung
- Mit Reiseanteil
Direkt bewerben
Book Permissions Assistant (m/w/d)
Springer Nature —Berlin
- Vollzeit
- Englisch
1 Tag

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AI for Science Residency - Machine Learning Resident

Microsoft -
Berlin

Jetzt bewerben

Details zur Stelle

vor 1 Tag

Qualifikationen

Doktorat
Informatik
Forschungserfahrung
Machine Learning
Künstliche Intelligenz

Vollständige Stellenbeschreibung

Overview

Microsoft Research AI for Science is seeking a talented machine learning researcher to join our mission of accelerating scientific discovery through AI. In the materials team, we are building next generation foundational AI capabilities to accelerate the design of novel materials with industrial impact. You can learn more about our AI emulator MatterSim and generator MatterGen in our blog.

This 2-year residency position is an exceptional opportunity to contribute to our ambitious research agenda by developing efficient and expressive machine learning models for materials. You will work with a highly collaborative, interdisciplinary and diverse team of researchers, engineers and scientists to develop and implement the next generation of machine learning models for materials design.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company. Our culture is centred on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of materials design.

Responsibilities

Drive an ambitious, high-impact, research agenda on machine learning for materials.
Develop efficient and expressive machine learning models that address fundamental materials science problems.
Work with domain experts to develop realistic machine learning metrics and benchmarks.
Prepare technical papers and presentations.
Contribute to building large-scale infrastructure for data generation, model training and inference.
Keep up-to-date with latest developments in the field.

Qualifications

Required/Minimum Qualifications:

PhD in computer science, machine learning, computational materials science, physics, or related area.

Track record of publications at top-tier conferences or journals (e.g., NeurIPS, ICML, ICLR, Nature/Science or relevant sub-journals).

Strong coding ability and proficiency in collaborative code development.

Ability to quickly iterate between ideation, implementation and evaluation of new research ideas.

Ability to work in an interdisciplinary collaborative environment, through effective communication of technical concepts to non-experts from different technical backgrounds.

Preferred/Additional Qualifications:

Experience working on generative models.

Experience working on (materials) science problems.

Experience with agent-driven research and code development.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.

Jetzt bewerben

Erweiterte Suche

medical data science Jobs in berlin

AI for Science Residency - Machine Learning Resident

Data & Software Engineer (f/m/x)

Working Student - Software Engineering (all genders)

Sr. Robotics Software Engineer, Amazon Robotics

Senior Software Engineer — Real-Time Ad Serving

Senior Embedded Software Engineer (m/f/d)

Senior Software Engineer (m/w/d) @ FICUS Health

Senior Software Engineer - Backend

Senior Embedded Systems Engineer (m/f/d), 40h

Application Support Engineer — Blockchain Security & AI Automation

Director, Business Development - CE

Book Permissions Assistant (m/w/d)

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