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for sustainable management of selected marine ecosystems. Your Profile A PhD in (bio)acoustics, spatial ecology, marine environmental science, or a related subject Experienced in acoustic propagation modelling
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research collaborations with colleagues at the institute. Additionally, we expect postdocs to teach one course per semester. What we expect from you: An excellent PhD in Psychology, Education Sciences
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, probabilistic models Representation learning, self-supervised learning, foundation models Data analysis, non-linear statistics, knowledge management Your profile PhD in Computer Science, Bioinformatics
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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
management) Your Profile PhD in marine microbial ecology with a focus on molecular ecology or ecological genomics or closely related topics - ideally with a deep-ocean focus Professional experience as a
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advanced data-driven methods and have the autonomy to set your own scientific emphasis. As team member of the ERC Starting Grant “MesoClou”, you will work with PhD students and a fellow postdoc and be
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Your Job: You will develop impactful machine learning techniques to deal with complex quantum states. Possible research directions and tasks include: Method development to advance neural quantum
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learning paradigms as well as interactive data- and model exploration with domain knowledge towards optimal performance in real-world generalization scenarios. AqQua is a large-scale collaborative research
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and skills: You hold a PhD in Bioinformatics, Computational Biology, Genomics or a related field. You bring proven expertise in deep learning and statistical modelling of biological data. You have
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Division of Pediatric Hematology and Oncology, Department of Pediatrics and Adolescent Medicine, Medical Center – University of Freiburg offers the position of a PhD candidate or Postdoctoral
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, or similar disciplines Graduate students expecting to receive their PhD within six months can also apply Experience in the advanced analysis of genetic or proteomic data Interest in learning methods