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Bioanalytics for the Multidimensional OMICS Data Analysis research group, we invite applications for a: PhD Candidate (m/f/d) This position is part of the Leibniz Science Campus “Cardio-Oncology Campus
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Biospectroscopy for the Bioimaging research group, we invite applications for a: PhD Candidate (m/f/d) This position is part of the Leibniz Science Campus “Cardio-Oncology Campus for Precision Medicine”, with focus
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Bioanalytics for the Proteomics research group, we invite applications for a: PhD Candidate (m/f/d) This position is part of the Leibniz Science Campus “Cardio-Oncology Campus for Precision Medicine”, with focus
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Bioanalytics for the Lipidomics research group, we invite applications for a: PhD Candidate (m/f/d) This position is part of the Leibniz Science Campus “Cardio-Oncology Campus for Precision Medicine”, with focus
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interspecific crossover rates to inform breeding strategies. Your qualifications and skills: You hold a MSc degree (or equivalent) in biology, biochemistry, crop science or a related field at the PhD start
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scientific journals Requirements: a master’s degree or PhD in physics, meteorology, geosciences or related fields relevant for Earth-system science experience in climate/Earth-system modelling is recommended
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its employees in reconciling work and family life and regularly undergoes the audit berufundfamilie® . Further information at: http://www.ifw-dresden.de . The Group Microsystems Technology of
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berufundfamilie audit of berufundfamilie gGmbH - an initiative of the Hertie Foundation. Further information can be found under: https://www.museumfuernaturkunde.berlin/en/uber-uns/jobs-und-karriere/arbeiten-am
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Raw1 and Raw7 at a cellular level in spike meristems. Your qualifications and skills: You hold an MSc. in plant biology or related fields with a strong background in plant developmental and molecular
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. Disseminate research through high-impact publications and conference presentations. Requirements: PhD (or near completion) in Imaging Science, Computational Biology, Bioinformatics, Machine Learning, Data