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machine learning models that predict soil health and crop performance. The position will exploit datasets integrating biochemical and molecular soil parameters (with a focus on microbiome features from
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the LAMP group at the Computer Vision Center (CVC), in Barcelona, Spain. The position is for 2-3 years and linked to the project “Foundations for Adaptive and Generalizable Deep Learning” (EXPLORA
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. The successful candidate will be joining the Quantum Optics Theory group led by Prof. Dr. Maciej Lewenstein. The successful candidate will work on Machine Learning research. Share this opening! Use the following
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24 Oct 2025 Job Information Organisation/Company Computer Vision Center Research Field Computer science » Other Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country
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healthcare. Required qualifications: MSc or PhD in Computer Engineering, Computer Science, Bioinformatics, or a related field Strong technical background in one or more of the following areas: artificial
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) Positions PhD Positions Country Spain Application Deadline 1 Oct 2025 - 23:59 (Europe/Madrid) Type of Contract Permanent Job Status Full-time Hours Per Week 37,5 Offer Starting Date 1 Nov 2025 Is the job
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Fundació Privada Institut d'Investigació Oncològica de Vall d'Hebron (VHIO) | Spain | about 8 hours ago
. Familiarity with statistical modelling, machine learning and deep-learning Additional information: We offer: 🌐The opportunity to work with our state-of-the-art HPC infrastructure and to join a vibrant network
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apply statistical and machine learning models to identify predictive markers of depression. Design and execute experimental protocols related to self- representation and chronic pain. Prepare manuscripts
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FieldBiological sciencesEducation LevelPhD or equivalent Specific Requirements PhD in Physics, Computational Biology, Bioinformatics, or equivalent. Knowledge of biophysics, statistical physics, machine learning
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valued. · Knowledge of chemical reactions and how to model them through computer simulations is highly valued. · Knowledge of classical molecular dynamics, including Machine Learning Interatomic Potentials