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Field
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, geophysics, geology or a closely related field Fluent in English (spoken and written) Strong motivation for mathematical inverse methods Strong motivation for team collaboration Experience with paleomagnetic
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. Your profile A Master’s (or Bachelor’s) degree in chemistry, materials science, or related field. Desired expertise: Electrochemistry, scanning probe techniques (AFM, STM, SECM) Additional experience in
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evaluating their therapeutic potential in modulating immune responses in dermatological diseases. This PhD requires a strong background in immunology, previous experience with the complex phenotyping of immune
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interactions and signaling pathways will then be extrapolated to existing single-cell RNAseq libraries of type 2 immune patients. This PhD requires a strong background in immunology, previous experience with
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forecasting models by analysing historical wind records alongside high-resolution COSMO-REA2 reanalysis data. Boundary layer wind tunnel experiments will be conducted to distinguish the structural impact of
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(required) German language skills are desirable Ability to work both independently and as part of a collaborative team High motivation for interdisciplinary research and experimental innovation Experience
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similar, who is interested in coordination chemistry and likes to work in a multidisciplinary environment. Ideally, but not necessarily, the applicant will have experience with the synthesis of transition
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experience growing, managing, and phenotyping plants in the field and greenhouse. You have experience using modern approaches in root phenotyping, image analysis, or simulation modeling to understand
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 2 months ago
relevant first (or postgraduate) degree in the field of social or health sciences, bio/statistics, epidemiology or demography. Relevant experience in mathematical demography, statistics or other discipline
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and physics is curious, open-minded, a team player, and well organized has interest in modelling complex systems, ideally for particle radiation effects. Experience in these areas is therefore highly