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collaborative EU or national research projects. Working language in the group is English. The position is available for a funding period of three years, starting at the earliest date possible. The salary depends
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. - Topical expertise working in the areas of AI, justice, technology, or on other forms of inequality is de-sired. - Fluency in English and one additional language is required. Applicants must have substantial
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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 1 month ago
with electrocatalytic experiments and ability to independently carry out electrochemical investigations is mandatory. Good language and communication skills in English are needed. Basic programming
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science, automation science, or a related field, and convincing expertise in robotic hardware. Experience with machine learning and large language models is highly desirable. Prior experience in a biological setting
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; Ability to work interdisciplinarily; Willingness to present research to the political and general public; Willingness to participate in PRIF’s self-governance. The language spoken in PRIF’s central
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-tracking technology, Computer Vision, Speech/ Language Processing, VR, and AR. • Know-how/Interest in designing user studies. • Excellent communication skills and a collaborative spirit to work with
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genomics, virtual cell models Graph-based neural networks, optimal transport Biomedical imaging, deep learning, virtual reality, AI-driven image analysis Agentic systems, large language models Generative AI
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a dynamic research institution Company ticket In-house language courses and resources for career development Women are particularly encouraged to apply. Applications from severely disabled persons
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) is an advantage Experience in software tools such as Origin, Matlab, Python/Matplotlib or similar programs for data processing and evaluation. Knowledge of a relevant programming language complements
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programming language, e.g. MATLAB, C/C++, Python. Highly motivated and keen on working in an international and interdisciplinary team. Applicants with strong background in the following fields are preferred