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Field
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novel machine learning-guided approaches. The position is located at TUM Campus Heilbronn. Your qualifications Strong background in computer science, AI, or related areas or similar fields. Solid
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to the table You are studying Physics, Mechanical Engineering, Medical Technology, or a comparable technical-scientific degree program You can impress with basic knowledge of optics and laser physics Your
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mechanics reaction diffusion equations in the life sciences partial differential equations under uncertainties data driven methods for differential equations We expect the initiation and development
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What you bring to the table You are a student of industrial engineering, mechanical engineering or a related degree programme You support our dynamic team with your independent and autonomous way
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the generation of statistically distributed microporosity for specific components What you bring to the table You are a student of industrial engineering, mechanical engineering or a comparable engineering degree
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you bring to the table You are a student of industrial engineering, mechanical engineering or a related degree programme You are characterised by an independent way of working and enjoy practical
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be part of the department »System Validation Mechanical Drive Train« at our site in Bremerhaven. At present, our team consists of eleven employees and several students. Our core activities are
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, computer science or engineering PhD in one of the above fields Proven knowledge and programming experience in at least one high-level language language (including Python) Experience in building web applications
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guests and PhD students to complete their theses, and with publications. Your tasks: Total and semi-synthesis of natural products and bioactives Reaction and compound library design Conjugation
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. For details on the project and PhD training program, please see GRK 2381 website . A Master's degree in life sciences or equivalent is required for the position. Applicants should have a strong interest in