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HIBEAM/NNBAR at ESS and – most relevant for this project – LDMX at SLAC (https://confluence.slac.stanford.edu/display/MME/Light+Dark+Matter+Experiment ). We exploit synergies across these projects, and our
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analyses. The postdoc will be hosted at TDB, co-supervised by both groups, and will work at the interface of scientific computing, machine learning and particle physics. Project description Searches for dark
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information about employee benefits is available here . Union representatives Information about union representatives, see Help for applicants . Application procedure Apply for the position by clicking
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. Plant science/ecology, especially related to forest ecosystems. Computer programming. Data analysis (machine learning, statistics, numerical analysis, time-series analysis, etc.). Quantitative methods in
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are looking for a researcher fascinated by the interactions of ecological, biogeochemical, and physical processes that shape the responses of the carbon cycle to global change and the implementation
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exceptional, computationally-minded researchers to help us invent what comes next and, if you are inventive enough, to shape your own direction. If you are a physicist, computer scientist, biologist, engineer
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record relative to career stage is considered a merit. Excellent written and spoken English skills are essential. Personal qualities will play an important role in the recruitment process. About us The
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Postdoctoral fellow within Microglia–Neural Circuit Interactions in Memory and Disease (PA2026/2262)
research projects within the lab’s research program Perform in vivo calcium imaging and behavioral experiments Analyze neuronal and microglial activity datasets (e.g., calcium imaging) Conduct
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to enable scalability. The work will draw on concepts from dynamical systems, stochastic processes, and stochastic differential equations (SDEs), including nonequilibrium systems, to model cellular behavior
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universities in mining and metallurgy. The University offers a unique opportunity for developing comprehensive research skills throughout the mining chain - from exploration, mining, processing and metal