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Field
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interest are candidates that incorporate computational approaches in their research, and dry lab scientists are also welcome to apply. The successful candidate will participate in Graduate Programs and
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Research Associates (Doctoral Candidates) (f/m/d) within the Cluster of Excellence “The Ocean Floor"
approval of funds – starting on January 1, 2026 at the earliest, up to 15 positions as Research Associates (Doctoral Candidates) (f/m/d)German Salary Scale 13 TV-L/TVöD (depending on the project partner
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Max Planck Institute for Brain Research, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 5 days ago
neuroscience Strong analytical and critical thinking skills A willingness to learn new techniques, including advanced experimental methods and computer programming Excellent verbal and written communication
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of the German Länder, TV-L E 13 Founded in 1817, Senckenberg Society for Nature Research (SGN) counts among the world’s leading research institutions in the field of biodiversity. At our twelve sites in Germany
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Computer Science, Artificial Intelligence, Materials Science, or a related field Strong programming skills in Python, ideally with experience in image processing and deep learning using PyTorch or similar frameworks
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communication skills, high flexibility and team spirit independent, goal-oriented, analytical way of working very good written and oral communication skills in German and English willingness to acquire knowledge
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are highly motivated, able to work independently, and demonstrate clean and structured working methods. Language Skills: You have very good English (C1) and/or German (C1) conversational skills in both
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position. Eligibility for this track requires that you meet certain criteria for fixed-term academic employment under German labor law. Details regarding the legal framework will be discussed during
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of energy system analysis, renewable energy systems or thermodynamics or comparable First experience in optimization or statistics is advantageous Knowledge of an object-oriented programming language (e.g
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University degree in data science, computer science, information science, computational ecology, statistics, or equivalent Competence in Python, R or other relevant programming languages (knowledge of LabView