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amphibians and other aquatic vertebrates. Using advanced imaging, neurophysiological, and molecular biological methods, we investigate the olfactory system. Furthermore, we use the olfactory network as a model
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Forschungsinstitut für Nutztierbiologie (FBN) | Dummerstorf, Mecklenburg Vorpommern | Germany | 4 days ago
third-party funded project “Reducing heat stress in grazing cattle and increasing resilience through agroforestry”. In a Germany-wide practical research network for organic farming, you will investigate
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Project (PhD Position) – Quantum-Classical Co-Simulation Framework Development for Neurobiological Systems Your Job: The overarching goal is to implement a code for multiscale quantum mechanics / molecular
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of Groningen has joined forces with other top universities and networks worldwide to become a truly global centre of knowledge. The position will be embedded in the Groningen Research Institute of Pharmacy (GRIP
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student, you will focus on mining large Actinomycete genomic, transcriptomic and metabolomic datasets to investigate their transcriptional regulatory network. You will develop and apply the latest
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. As one of the best research universities in Europe, the University of Groningen has joined forces with other top universities and networks worldwide to become a truly global centre of knowledge. Within
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/NL. The successful candidates commit to actively participate in networking including regular research visits to the partner laboratories. Requirements: university degree in chemistry or physics and
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regarding the position as well as the Cilia-AI network; • a detailed CV, including education, work experience, skills, dissertations, research interests, career objectives, and names and contact details
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successful applicant will also be part of the MathRad research network on mathematics of radiation transport, which has groups at the Universities of Warwick, Bath, and Cambridge. Number of awards: 1 Start
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for medical imaging, tailored for deep learning. The high-level goal of the project is simple: to use anatomical knowledge and existing knowledge as training data for deep neural networks (instead of manual