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, and statistical modeling approaches. The main objective is to quantify the individual and collective behavior of bees within the hive using advanced tracking and classification techniques. The research
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49 Faculty of Social Sciences Working hours: 40 | Collective bargaining agreement: §48 VwGr. A2 Limited until: permanent Reference no.: 4436 The position The focus of the tenure track professorship
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Professor (promotion track) in Histology. The position focuses on innovative, interdisciplinary teaching in histology (and histopathology) at the bachelor's level and within medical specialization programmes
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Description of the offer : Two senior tenure-track positions are open at SPINTEC laboratory. The first position is tenure-track senior Research Scientist at CNRS (French Center for Scientific
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Description: The Neurocenter Magendie is a behavioral neuroscience institute including 11 teams dedicated to the study of brain functions in health and disease. We are seeking a high profile, dynamic and innovative researcher to integrate our community. The ideal candidate will possess deep...
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experiments. The objective is to develop Bayesian causal models and neural networks capable of identifying relevant causal relationships between instrumental parameters and observed anomalies. The work will
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for: Operational research and combinatorial optimization (e.g., solvers Gurobi, CPLEX, Hexaly) Bayesian optimization, evolutionary algorithms, or hybrid methods Multi-objective and constrained optimization Surrogate
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maximum likelihood and Bayesian inference frameworks. - Data mining in genome databases. - Large-scale phylogeny reconstruction (archaea, bacteria, and eukaryotes). - Implementation of complex sequence
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of electromagnetic wave physics or astrophysics, considered an asset. - Experience with advanced statistics and Bayesian inference, which will be regarded as a plus. Familiarity with compressed sensing and the ability
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experimental parameters (time, temperature). To optimize these parameters, active learning techniques based on Bayesian optimization will be applied. In situ or ex situ characterizations (FTIR, ¹¹B/¹H NMR, HP