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Chair of the Scientific and Technical Advisory Panel (STAP) to the Global Environment Facility (GEF)
Result of Service The GEF STAP’s Mandate is to provide objective, strategic scientific and technical advice on GEF policies, operational strategies, programs, and projects. The Chairperson shall act
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Commissariat à l'Energie Atomique et aux Energies Alternatives - Groupe | Gif sur Yvette, le de France | France | 2 months ago
on CV and eventual interview PHD title: Doctorat en physique PHD Country: France Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/135109 Requirements Specific Requirements Le
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to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), coordinated by SciLifeLab, aims to recruit and train the next-generation of data
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sequencing to study dynamic cell states in health and disease. The lab operates at the interface of engineering, biology, and medicine, combining rigorous experimental work with quantitative and computational
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candidates interested in establishing a translational research program relevant to Parkinson’s Disease (PD) to fill a position for an Assistant Professor, Academic Track with focus on Research. This is a 12
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prioritizing the alignment of scientists and research infrastructure with departmental and institutional strategies and program priorities, including those essential to collaborative activities. · Develop
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development and writing of manuscripts Preferred Qualifications PhD degree in a biological science, computer science, biostatistics or related area and / or equivalent experience / training About UCSF The
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35 Offer Starting Date 1 Apr 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer
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) Neuromodulation approaches (TMS, tDCS, TUS) Neurogenetics Computational modelling (machine learning, reinforcement learning) Our research bridges scales (local circuits to global networks) and species (humans, mice
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, the development and implementation of novel algorithms, machine learning for parsing biological data sets (genomics, proteomics, imaging, neuroscience), and related areas at the interface of computer