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Diploma or Master´s degree in geosciences, environmental sciences, physics, atmospheric sciences, or related disciplines Comfortable with statistics, mathematics, and knowledge in the carbon cycle Curious
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dedicated, ambitious and supportive research team in state-of-the-art facilities and will experience the benefits of a structured PhD training program that provides doctoral students with interdisciplinary
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problems Proficiency in data analysis and programming using at least one statistical program such as R, Python, or similar programming languages Experience with GAMS, GTAP, and Exiobase is an asset. Skills
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scope of different subjects such as electrical engineering/electronics, microelectronics, microsystems technology, information technology, computer science, physics, chemistry, optics and manufacturing
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Foundation (www.synthera.eu/ ). We are seeking an excellent and enthusiastic Ph.D. student with a strong interest in computational microbiome research. The specific focus of the Ph.D. project will be tailored
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August 27, 2024 The International Max Planck Research School for Biology And Computation (IMPRS-BAC) provides a broad education and experience in both experimental molecular biology and data
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environment. The candidate will be given the opportunity to develop a doctoral thesis with extensive support through the RTG2413 (www.synage.de ) and the CBBS graduate program (gp.cbbs.eu ). Your profile
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. The position is part of the research group Quality.2 (Phytonutrient Management) in the programme area ‘Plant Quality and Food Security’ (QUALITY). The aim of the research project ‘PhytoM’ is has the goal
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biological physicists who ask how physical mechanisms shape functional biological patterns. We combine statistical physics, nonlinear dynamics, mathematical modeling and data-driven simulation with physics
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programmes Much of the programme coursework requires the use of statistical programmes. Most students will use R software, although some students will use other programmes, such as Python, Stata, or SAS