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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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will develop into acute or chronic infection. Your expertise - PhD in life sciences, preferably (liver) immunology and/or viral hepatitis. - Experience in high-dimensional flow cytometry for phenotyping
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) for performing fundamental research in the frame of the project AI-CHECK funded by the International Graduate School of Science and Engineering (IGSSE). The candidate has the opportunity to pursue a doctoral
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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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WSI Quantum Sensing Group (Reinhard lab) 23.07.2020, Wissenschaftliches Personal The quantum sensing group at the Walter Schottky Institute of TUM is offering PhD and Postdoc positions to join our
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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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24.02.2020, Wissenschaftliches Personal The research group “Fluid Dynamics of Complex Biosystems” headed by Prof. Dr. Natalie Germann has an open PhD position in the field of experimental rheology
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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