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motivation in conducting evolutionary and chemical ecological research at different levels. •MSc/diploma in a relevant field (e.g., evolutionary biology, chemical ecology, sensory biology). •Strong experience
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microscopy and atom probe tomography will be prepared. Finally, you will merge the images by means of deep learning algorithms. Your tasks in detail Development of the experimental protocol for the imaging
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the environment, including traffic conditions, travel time, and cost. The project will define the DRL components (states, actions, rewards, policies), select and implement suitable DRL algorithms, and integrate
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, Microbiology, Evolutionary Biology or equivalent Practical experience with bacterial cultivation techniques (familiarity of BSL-2 biosafety protocols) Proficient in working under sterile conditions Ideally
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populations from New Guinea using museomic data Assembling high-quality reference genomes and generating whole-genome resequencing data of avian skins Inference of evolutionary history using Ancestral
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programming and know how to use version control. ▪ You are experienced in the usage of machine learning (e.g., Actor-critic algorithms, deep neural networks, support vector machines, unsupervised learning
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regulation. Based on this, we characterize and identify aging-associated pathways that have been identified by a RNA expression screen of physiological aging in several evolutionary distinct species, including
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Degree Doctoral degree in biology, neuroscience, ecology, evolutionary genetics Doctoral degree or degree awarded by Ludwig Maximilian University of Munich and Technical University of Munich Course
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to work independently and as part of a team Strong organizational skills and attention to detail We offer A challenging interdisciplinary research project at the interface of evolutionary biology, ichnology
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Dortmund, we invite applications for a PhD Candidate (m/f/d): Analysis of Microscopic BIOMedical Images (AMBIOM) You will be responsible for Developing new machine learning algorithms for microscopy image