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[Eshmuminov et al. Nat. Biotechnol. 2020] and the first clinical transplantation of a liver treated and recovered in a perfusion machine [Clavien et al. Nat. Biotechnol. 2022]. In parallel, the lab has
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categories Extending mixed-integer linear programming models through stochastic and robust optimisation to compute robust intervention programs Contributing to the design of a GIS-based decision-support
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Position B. A strong interest in fundamental research tackling questions on the perception of time and space in virtual immersive environments. Solid quantitative skills (R, Python, or Stata). Programming
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experience implementing scientific code and validating it against analytical solutions, numerical benchmarks, or well-documented reference results. You have prior programming experience in Python and
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applications You have good programming skills for image processing, image analysis and/or hardware control. You are eager to learn, can work independently and have a creative and solution-driven mindset
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Profile Master's degree in engineering, physics, applied mathematics, computer science, or closely related field Strong background in mathematics and machine learning Programming proficiency in Python, C
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Max Planck Institute of Animal Behavior, Radolfzell / Constance | Constance, Porto | Portugal | 20 days ago
observational data collection and behavioralvideo coding, skills in statistical data analysis (especially social network analyses), and programming (e.g., in R). More important than specific prior
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, environmental sciences, or a closely related field Strong hydrological process knowledge Experience in statistical and/or data-driven modeling Strong programming skills (ideally in Python and/or R
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time and space in virtual immersive environments Solid quantitative skills (R, Python, or Stata) Programming ability relevant to your target position: hands-on experience with a VR engine (Unity or
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Max Planck Institute of Animal Behavior, Radolfzell / Constance | Constance, Porto | Portugal | 14 days ago
candidate should be enthusiastic about addressing biological questions using quantitative approaches. Prior experience with programming (e.g., in R, Python, MATLAB, etc.), scientific writing, and ecological