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composition of the team being most important. Effects of management and ecosystem-related changes on salmon life-history phenotype and genotypes Evolutionary genomic approaches for assessing the effects
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, who is excited to contribute to an ambitious international research project. The successful applicant must have: A PhD (completed before the start of employment) in ecology, evolutionary biology
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of Finland under the supervision of the Academy Research Fellow Marcelo Hartmann and Research Fellow Luu Hoang Phuc Hau (Nanyang Technological University). We have been developing computational algorithms
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environmental change. The successful applicant must have: A Master's degree (completed before the start of employment) in ecology, evolutionary biology, conservation biology, biology, environmental sciences
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degree (completed before the start of employment) in ecology, evolutionary biology, conservation biology, biology, environmental sciences, or another relevant field Strong skills and experience in handling
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computational algorithms and theory grounded in notions of information geometry and Riemannian geometry to enhance Bayesian statistical inference and machine-learning related methods. The successful deployment
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, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and
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algorithm development using Python or equivalent programming languages is considered an asset. Given the highly international and collaborative nature of the research environment, strong presentation and
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and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems. The department has extensive international collaboration with
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convection, extra-tropical cyclones, and ensemble prediction including algorithmic parameter estimation. The group’s main modelling tool in research and teaching is OpenIFS of ECMWF. Research within