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to characterize seasonal krill flux in the region Your Profile PhD in biology, marine biology, fishery management and conservation, or related fields. Strong quantitative skills (statistics, modelling) and
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(programming, digital signal processing, modelling, statistics) is sought. The project involves collaboration with Prof. Marco Steinhauser (University of Eichstätt-Ingolstadt, Germany) and Dr. Ramakrishna
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(programming, digital signal processing, statistics) is sought. Qualifications Ideally, applicants for the position should satisfy the following requirements: PhD degree in psychology, cognitive (neuro)science
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and Experimentation: Proficiency with modern ML frameworks (e.g., PyTorch), simulation environments, and reproducible experimentation pipelines for autonomous driving or robotics Your profile PhD in
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, intercultural and inter-institutional awareness as well as a spirit of team-work are prerequisites: PhD in educational sciences, social sciences or equivalent Strong knowledge of qualitative and/or quantitative
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. Position qualifications: PhD or equivalent degree in genetics, epidemiology, biostatistics, bioinformatics, or a related quantitative field Strong publication record Strong research interests in genetic
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criteria PhD in a relevant area, for example, single-cell genomics, statistical genetics, genetic epidemiology, or computational biology. Expertise in statistical genetics and analyses of single-cell and
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-reviewed journals and workshops Your qualifications: A Master's degree (or equivalent) and a PhD in Hydrology, Civil or Environmental Engineering, Geosciences, Environmental Sciences, Physics or Mathematics
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development and statistical modelling in resilience assessment (e.g., dynamic/latent-variable models, Bayesian hierarchical models, causal inference, time-series analysis, cognitive modelling) Build robust
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
for the sustainable management of selected marine ecosystems. Your Profile A PhD in marine biology, conservation biology, fishery management & conservation, or related fields A strong background in handling large data