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Field
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as needed. Preferred Qualifications • Experience with stress phenotyping in cotton and/or other crop systems. • Programming skills and/or working with protein analysis software are desired. • Strong
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 23 hours ago
health, epidemiology and related fields. Proficiency in at least one statistical software package, such as R or Stata. Experience with quantitative analysis of health-related data. How to apply
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are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we
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to their design and characterisation. • Contribute to producing the relevant procedures and software tools in order to achieve the above. • Contribute to the design of relevant prototype components and participate
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. FRAME’s will be validated on real-world use cases (robotics, healthcare and software development frameworks). The research associate will be affiliated with the Data Science & Intelligent Systems based in
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to their design and characterisation. • Contribute to producing the relevant procedures and software tools in order to achieve the above. • Contribute to the design of relevant prototype components and participate
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skills, particularly proficiency in statistical data analysis software. Excellent written and spoken English. Strong communication and presentation skills, high professional standards, excellent
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software engineering skills are also required. Most importantly we are looking for a clear scientific leader with tremendous capacity to advance the field. This position has ample opportunity for mentoring
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clinical or imaging-based research. Familiarity with vascular imaging software, image post-processing, and AI/machine learning applications in clinical or imaging research is desirable. Demonstrates strong
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, you will develop methods capable of automatically generating tailored metadata and associated documentation for defined user groups, integrated into widely used open-source data repository software