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Junior Research Group in the field of Metabolic Plasticity. What we are looking for in applicants: We are looking for established scientists in an early career phase (up to 6 years post-PhD) who
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relation to food technology, food chemistry, and food nutrition in a broad sense. Teaching activities will include supervision of student projects at different levels (BSc, MSc, PhD). You will engage in
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DTU’s Tenure Track program. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic
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publishing in international journals We expect that you have: The successful candidate must have a PhD degree or document equivalent qualifications in a relevant field related to environmental sciences, like
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inclusive research groups. Your role The UBIX Research Group is searching a PhD candidate to work on data-driven sustainable energy systems. The successful candidate will join the UBIX Research Group, led by
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of the next generation of scientists is one of EMBL’s key missions. The EMBL Corporate Partnership Programme invites applications for short-term fellowships to enable junior level scientific visitors (active
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Junior Research Group in the field of Metabolic Plasticity. What we are looking for in applicants: We are looking for established scientists in an early career phase (up to 6 years post-PhD) who
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DTU Tenure Track Researcher in Nutrition, Sustainability and Health Promotion with a focus on Sus...
The position is part of DTU’s Tenure Track program. We provide you with the best conditions including a mentor, state-of-the-art research infrastructure, teacher training and relevant networks
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of the ecology and management of biological invasions in forests. The Forest Invasion Synthesis Centre, Prague (FISC) is funded under the ERA Chairs Call of the Horizon Europe Programme, the EU's primary funding
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integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid