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as amended) and who meet the following requirements: 1. PhD in physical sciences. 2. Fulfilled formal requirements regarding the date of obtaining the doctoral degree in accordance with the regulations
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or equivalent Specific Requirements Requirements for the candidate: PhD in biology, biochemistry, or related life science field, for not more than 7 years before the position starts. Hands-on experience in basic
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graph algorithms for optimization under physical constraints Applying graph mining and graph data management techniques Designing computational methods for waste heat reuse and green transition goals
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. - Experience of archival and document management tools and resources, statistical methods and editing publications for scientific and cultural dissemination. - Experience of participating in state-funded
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histories in Central Eurasia by applying palaeoproteomic methods to a selected number of archaeological sites in the region. The position is based in a research group composed of evolutionary and molecular
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experimentally challenging and we are using specially-developed methods for library prep for high-throughput sequencing to achieve this. The research involves next-generation sequence library preparation in
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. As a formal qualification, you must hold a PhD degree (or equivalent). General qualifications Strong scientific track record and research potential at the international level Ability to work
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approaches. Formal models are directly applied in real experimental facilities. Marine Robotics is our current emphasis, without excluding candidates with prior experience on Aerial or Ground Systems. We
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are integrated into the junior faculty of the Department of Economics at LMU. The position has no formal teaching obligation; however, limited teaching is encouraged. Candidates should hold a PhD in economics or
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methods and potential application of machine learning techniques. Good command of English (B2/C1). The candidate will be responsible for carrying out tasks related to the analysis of experimental data