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consultancy and teaching projects Your qualification: • Studies (with Master or PhD degree) of mathematics, statistics, bioinformatics, epidemiology or related subjects. Applicants expecting to finish
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of ML for Earth observation will be supported. Requirements: PhD in computer science, geoinformatics, data science, business administration, or comparable field of study professional experience in Earth
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qualification - PhD/MSc degree in bioinformatics, computer science, mathematics, life sciences - background in Machine Learning and/or RNAseq analysis - interest in biological applications - passion for science
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(PhD) in life science - Knowledge of immunology and oncology or virology - Special knowledge of flow cytometry and GLP - Ability to work in an international team - Innovative and creative thinking - Very
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, agriculture science or related fields (Science: Biology, Computer Science, Data Science, Agricultural Economics etc.; Engineering: Mechanical, Electrical, Bionics, etc.) 3. Programming knowledge for AI
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observation will be supported. YOUR QUALIFICATIONS PhD in computer science, geoinformatics, data science, business administration, or comparable field of study professional experience in Earth observation and
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magnetic materials, superconducting quantum circuits for quantum information processes and hybrid devices. It plays a key role in the broad and highly visible Munich research efforts on quantum science such
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hold a PhD degree in chemical engineering, bioprocess engineering, material science or a closely related field. He/she should have a background in encapsulation and experimental rheology. Good