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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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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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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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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
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-careers . Questions should be directed to: Betsy Pike, Human Resources Program Manager, Department of Medicine, Division of Renal Diseases and Hypertension, Betsy.Pike@cuanschutz.edu Screening
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improved mobility. An AI-based Human-Machine-Interface, employing machine learning and neural networks, enables real-time control by the user. Embedded sensors enhance functionality, while mechatronic design