726 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:"-"https:" positions in Germany
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Max Planck Institute for Evolutionary Biology, Plön | Plon, Schleswig Holstein | Germany | about 2 months ago
with the possibility of extension. Qualifications PhD in evolutionary biology, quantitative genetics, or related field. Strong background in quantitative genetics, solid programming skills (Python, R
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, computer science or a comparable programme Knowledge of quantum mechanics and quantum information theory Good language skills in German and English Enjoyment of theoretical work Ability to work in a team, openness
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and pipelines, programming skills (e.g. Python, R) and experience in working with relational databases and SQL (e.g. PostgreSQL, MySQL) are advantageous. Experience in EU projects or in the project
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available in the further tabs (e.g. “Application requirements”). Objective The programme aims at fostering strong, internationally oriented higher education systems in Jordan with the capacity to contribute
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systems that mimic such conditions. The successful applicant will thus join an exciting research program in a dynamic working group to investigate the molecular mechanisms on how small DNA tumor viruses
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of huge amounts of data Applied science in exciting projects Preparation of presentations Testing software and frameworks What you bring to the table Enrolled in a master's programme of computer
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physics, mechanical engineering, electrical engineering, materials science, physical engineering, computer science or similar. Doctorate is an advantage Very good practical programming experience
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programme You enjoy working independently and on your own responsibility Initial knowledge of materials science and design theory is an advantage for you Good German and English skills are essential
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you bring to the table You are a student of industrial engineering, mechanical engineering or a related degree programme You are characterised by an independent way of working and enjoy practical
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What you bring to the table You are a student of industrial engineering, mechanical engineering or a related degree programme You support our dynamic team with your independent and autonomous way