Machine Learning Scientist in Medicine

Vor 7 Tagen


Berlin, Deutschland Fraunhofer-Gesellschaft Vollzeit

Future. Discover. Together.  The Applied Machine Learning (AML) group within the Artificial Intelligence Department is seeking a scientist in the field of Machine Learning to strengthen its research activities in the application area of medicine and health, particularly in the research and development of new multimodal ML models. The AML research group continuously explores and develops innovative solutions that are applied in current and future key research topics. Become a part of our team and join us on our journey of research and innovation   Be part of change Analysis and preprocessing of various medical datasets, particularly images and texts, as well as tabular and higher-dimensional data Testing, implementation, and benchmarking of new research methods Development of machine learning approaches to solve application-oriented problems involving multimodal data Participation in exciting projects with external partners and clients Writing scientific publications and supervising students Presentation of results at trade fairs, project meetings, and other events Supporting the preparation of research proposals   What you contribute Master’s degree in Computer Science, Mathematics, Physics, Electrical Engineering, or a related field Advanced knowledge in Machine Learning, particularly in Deep Learning, Large Language Models (LLMs), and Multimodal Machine Learning Relevant references or evidence of previous scientific achievements in the field of medicine and health Experience in developing competitive ML models for segmentation, classification, and regression tasks using various data types, e.g., time series, images, or text Enthusiasm and enjoyment in (further) developing codebases and discovering new datasets Experience and confidence in using Python, Linux (Ubuntu), and Git via the terminal Team spirit, strong communication skills, and an interest in interdisciplinary collaboration   What we offer Attractive salary package according to TVöD with 30 days of vacation, pension plan (VBL), capital-forming benefits (VWL) Modern, excellently equipped workplace in the heart of Berlin Open and very cooperative working atmosphere in an international team Flexible working hours Opportunities for home office Extensive training, health, and sports offers Support for your desire to pursue a doctorate Various employee discounts and discounted BVG ticket Family offers (parent-child office, emergency care, leisure activities)   The position is initially limited to 2 years. An extension is explicitly desired.   The weekly working time is 39 hours. This position is also available on a part-time basis. We value and promote the diversity of our employees' skills and therefore welcome all applications – regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability. Our tasks are diverse and adaptable – for applicants with disabilities, we work together to find solutions that best promote their abilities. With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.    Ready for a change? Then apply now and make a difference Once we have received your online application, you will receive an automatic confirmation of receipt. We will then get back to you as soon as possible and let you know what happens next.     Contact: Mr. Jackie Ma     Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute HHI    Requisition Number: 81705                Application Deadline: 01/15/2026  



  • Berlin, Berlin, Deutschland Fraunhofer-Gesellschaft Vollzeit

    Future. Discover. Together. The Applied Machine Learning (AML) group within the Artificial Intelligence Department is seeking a scientist in the field of Machine Learning to strengthen its research activities in the application area of medicine and health, particularly in the research and development of new multimodal ML models. The AML research group...


  • Berlin, Deutschland Fraunhofer-Gesellschaft Vollzeit

    Future. Discover. Together.  The Applied Machine Learning (AML) group within the Artificial Intelligence Department is seeking a scientist in the field of Machine Learning to strengthen its research activities in the areas of foundation models, large language models, and multimodal ML models—particularly in the context of research and development of new...


  • Berlin, Berlin, Deutschland Fraunhofer-Gesellschaft Vollzeit

    Future. Discover. Together. The Applied Machine Learning (AML) group within the Artificial Intelligence Department is seeking a scientist in the field of Machine Learning to strengthen its research activities in the areas of foundation models, large language models, and multimodal ML models—particularly in the context of research and development of new...


  • Berlin, Deutschland Amazon Development Center DEU Vollzeit

    PhD in a quantitative field (e.g., computer science, machine learning, mathematics, statistics) or Master’s degree with equivalent experience - Extensive knowledge and practical experience in several of the following areas: machine learning, deep learning, statistics, NLP, recommendation system, signal processing. - Experience with Python, R, SAS, Matlab...


  • Berlin, Deutschland Machine Learning Reply Vollzeit

    Als Cloud Engineer entwickelst du für unsere Kunden innovative Cloud-Lösungsarchitekturen auf Basis von Microsoft Azure, von kompletten Greenfield-Ansätzen bis hin zu komplexen MigrationsszenarienDabei berücksichtigst du die Sicherheitsanforderungen, rechtliche Aspekte, Multi-Tenancy und Access-PatternsIm direkten Austausch mit unseren Kunden und anderen...

  • Lead Data Scientist

    vor 2 Stunden


    Berlin, Deutschland Ratepay GmbH Vollzeit

    Become part of Ratepay and shape the payment solutions of tomorrow and beyond together with us. Founded in 2009, we are now the No. 1 white-label payment provider in Europe and an independent payment brand within the Nexi Group, the European PayTech company. Our Ratepay team consists of over 300 colleagues from over 40 nations. With us, you will find a...


  • Berlin, Berlin, Deutschland dida Datenschmiede Vollzeit

    Your mission dida is a machine learning software company with exciting problems for instance in computer vision and natural language processing. Our team tackles applied problems for different customers by using latest scientific advancements (especially in deep learning) and therefore believes that research oriented thinking can help solving real-world...


  • Berlin, Deutschland Bayer Vollzeit

    **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...


  • Berlin, Deutschland Align Technology Vollzeit

    About this opportunity To strengthen our exocad ML/AI team in Darmstadt we are looking for you as Senior 3D Machine Learning Scientist (m/w/d) Start date: 01.09.2024 or later We are seeking a talented and driven individual to join our team as a Senior 3D Machine Learning Scientist. In this role, you will have the exciting opportunity to contribute to the...


  • Berlin, Deutschland Top Remote Talent Vollzeit

    We are seeking a talented and motivated Medical Data Scientist with a strong background in medicine to join company’s team and contribute to the development of innovative solutions that enhance patient care and medical research. The company creating the world’s most used medical products and optimization software for small businesses and enterprises in...