225 post-doc-in-wireless-communication-and-networks-2016 Postdoctoral positions in Denmark
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Netherlands. The Post Docs will be involved in all parts and activities of the research projects. The workload will be geared towards participation in coordination activities, data collection and data analysis, learning
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, psychology, music, or other relevant education. You have independent research-related qualifications at a high international level. You are a clear communicator, and you have some degree of experience
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. Teaching responsibilities of the Department comprise undergraduate and graduate teaching as well as teaching in post-experience and doctoral education. To fulfill the research requirements of the position
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deliverables, assisting with project reporting, and facilitating communication across the project consortium. What we offer We offer a dynamic and supportive research environment within an internationally
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, coordinating with PhD students and collaborators to avoid bottlenecks, and communicating progress clearly. an open and collaborative mindset, which includes a willingness to share expertise and support the
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, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted
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genomics, or a related field Solid programming skills in a relevant language (e.g., Python or R) Experience with population genetic simulations (e.g., SLiM, msprime, or similar) Familiarity with calculating
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communication skills are required for this position. We are seeking a bright and empathic person with a PhD in materials science, materials science in soft and biomaterials, MEMS processes, advanced lithography
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involves interdisciplinary research on the development and evaluation of large language models for low-resourced langauges, primarily focusing on Danish and other Nordic languages. The research will focus
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-reviewed journals Experience with one or more scripting language (e.g., R, Python, SAS) and/or genetic software (e.g., DMU, ASReml) Can biologically interpret results and relate to breeding decision making