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list and research interests of this laboratory can also be found at: https://www.researchgate.net/profile/Jose_Gallego8 ; http://orcid.org/0000-0002-0627-6927 . Where to apply E-mail jose.gallego@ucv.es
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of advertising/notification of results: The final results of the evaluation will be publicized through a ranked list posted on the UTAD Campus Online Page (http://www.campus.utad.pt/bolsasinvestigacao/candidaturas
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included in my application documents." -a list of scientific and research achievements (e.g., list of publications, speeches at conferences, internships held) - letters of recommendation (at least one
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 13 hours ago
Job Code: 24-25 Job Offer from August 22, 2025 The Max Planck Institute for Multidisciplinary Sciences in Göttingen is a leading international research institute of exceptional scientific breadth
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 6 days ago
Job Code: MPIDS-W088 Job Offer from August 20, 2025 The Max Planck Institute for Dynamics and Self-Organization (MPI-DS) at Göttingen, Germany, is an international, interdisciplinary and
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learning, and single-cell omics data modeling, or closely related fields Proficiency in R or Python under Linux with contributions to source code Strong track record of scientific productivity, including
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non-coding RNAs in the Nakanishi Lab (http://u.osu.edu/nakanishilab/ ). We are looking for a highly motivated scientist to join us in exploring the diverse roles of non-coding RNAs. Responsibilities
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the developed designs. Develop simulations (writing code) to support the theoretical findings. Disseminate results through scientific publications in peer-reviewed journals. Write technical reports
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-impact journals and conferences; Communicate and present research findings at international academic gatherings; Create, maintain, and document high-quality research code for reproducibility; Maintain good
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mathematical background, including expertise in stochastic optimization (e.g. Markov decision theory and dynamic programming) and applied probability (Bayesian statistics). Excellent coding skills (e.g., in Java