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under the supervision of Prof. Sandrine Ongeri, as well as a 3-month secondment at the computational chemistry company Schrödinger. The Candidate The ideal candidate for this position is a highly
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the consortium Your Profile: Excellent Master and subsequent PhD in computer science, engineering, biophysics, applied mathematics, computational biology or a related field Proven programming expertise in Python
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coding in C++, supported by specialised training (e.g. C++ courses). Your Profile Master's degree in Mathematics, Computer Science, Physics or a related discipline Object-oriented programming skills
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requirements into robust technical solutions Your Profile: Bachelor’s degree in the field of IT, data or computer science or a related discipline Interest in data science, AI-supported energy systems, and
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work Your Profile: Completed university degree (Master`s) in a subject with a strong focus on chemical engineering, e.g. process engineering, mechanical engineering, technical chemistry, relevant
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and scientific articles the supervision of PhD and master students Your Profile: Completed academic university degree with subsequent PhD in physics, computer science, mathematics or comparable fields
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conferences Your Profile: You have an excellent Master’s degree in a relevant discipline such as computer science, mathematics, engineering, or the natural sciences, preferably with a completed PhD or an
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in field conditions. The samples can now be processed and analysed. We are looking for a motivated intern to work on the processing of root samples. The intern will learn and use root analysis methods
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: INTERDISCIPLINARY TRAINING: An interdisciplinary training program, including academic research, international mobility, and industrial immersion INTERNATIONAL COLLABORATION: Collaboration with 32 international
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an international, interdisciplinary research team Familiarity with Bayesian thinking is desirable No prior biological experience is required; curiosity for life science questions and willingness to collaborate with