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environment that provides equal opportunities. We are convinced that diverse teams and a variety of perspectives enrich our work and our daily collaboration. In a continuous process of learning and reflection
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opportunities through courses, e-learning programs, and coaching sessions Structured onboarding: A systematic introduction to your new role and team Healthy at work: A wide range of health and wellness programs
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(FIJI/ImageJ etc.) Ability to work independently and to supervise interns and undergraduates Excellent English (in speaking and writing) and computer skills, knowledge of German is a bonus, but not
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development opportunities (e.g., heiTRACKS) Competitive salary and extensive benefits Possibility to teach in the area of your expertise (English or German) The remuneration is based on pay grade TV-L 13. We
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general approaches from cognitive science (resource-rational analysis) to investigate in how far LLMs may acquire “causal world models”. The focus of the project is on the latent representations in LLMs
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infrastructure and outstanding career development opportunities (e.g., heiTRACKS) Competitive salary and extensive benefits Possibility to teach in the area of your expertise (English or German) The remuneration
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at international conferences Ability to work in a team Goal-oriented and structured approach to work Independent working style and commitment Willingness to learn and interest in interdisciplinary applied research
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of Medicine as well as the University of Colorado Boulder. Scientists from your group will join cross-institutional lab meetings and have the option to visit collaborators on-site to acquire new technical
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and modern data-analysis workflows Experience with unsupervised learning, clustering, and integrative analysis Ability to translate computational findings into meaningful biological and translational
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within a stimulating environment and gain international exposure through our partners and collaborators across Europe and the world. We support career development, continued education, life-long learning