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Field
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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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, as well as the team’s work on applied mathematics and advanced numerics, via the ACT website (https://www.esa.int/gsp/ACT/) . You also are encouraged to visit the ESA website: https://www.esa.int
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 3 months ago
conferences, contribute to publications, and support a positive and collegial team culture. Essential qualifications Doctoral degree (PhD) in Molecular Biology, Biochemistry, Cell Biology or a related life
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expanding the Food Compass algorithm according to the latest science, including expansion to include novel health-related bioactive attributes; Supporting ongoing work and manuscripts, including related data
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: 33 days annual leave, plus 9 buildings closed days for all full time staff. Purpose of Role The Laboratory of Ultrafast Physics and Optics (LUPO, https://lupo-lab.com) seeks a talented and motivated
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modeling and simulation • Development in Finite element and alternative discretization methods (e.g. Lattice Boltzmann methods) • High-dimensional algorithms and high-performance computing
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(NLP) algorithms applied to electronic health records (EHR) to understand cannabis-related harms in aging PWH and people without HIV. The position will entail collaborations with several investigators
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Foundation Health Model. As a PhD candidate, you will conduct deep-dive research into training pipelines and reasoning techniques for clinical foundation models. You will join an elite, interdisciplinary team
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of these experiments. As part of this, we have developed new algorithms and a completely new web-based platform – EasyNMR - for performing such modelling/simulations. With this position, we seek to strengthen
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packages, solve SLAM, use imitation learning algorithms to learn pick-and-place actions, design HRI experiments with users, evaluate data, and share the code and benchmarks in open repositories