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We are seeking a highly motivated candidate who has recently completed, or is close to completing, a PhD and has training in statistics, data processing, bioinformatics, or a related discipline, to
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objectives. Prepare final drafts of research manuscripts for submission to peer-reviewed journals. Required Minimum Qualifications: PhD in Plant Breeding Experience in design and analysis of field experiments
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multidisciplinary environment. Application Interested applicants should send a cover letter, CV, and contact information for three references to: In-Hyun Park, PhD, Associate Professor of Genetics and Neuroscience
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materials. This position will primarily involve organic synthesis lab work and analysis of new materials, with some supplemental electrochemical testing. Previous experience with electrochemical analysis
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Veterinärmedizinische Universität Wien (University of Veterinary Medicine Vienna) | Austria | 3 months ago
, experience with a priori power analysis and (automated) data processing are desirable. Main Research Field: Statistics Where to apply E-mail [email protected] Requirements Research FieldMedical
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systems. Main tasks include material synthesis and characterization, low-temperature scanning tunnelling microscopy and spectroscopy, data analysis, scientific instrumentation, collaborative research
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, and/or surgical procedures. Data analysis and quantitative methods using R, Python, MATLAB, or similar platforms. Miniscope imaging acquisition and analysis. Ex vivo imaging of nervous system tissues
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Max Planck Institute for Demographic Research, Rostock | Rostock, Mecklenburg Vorpommern | Germany | 28 days ago
or Stata. Experience with quantitative analysis of health-related data. How to apply Applications should be in English and be submitted online via this survey and should include the following documents
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and analyzing multidimensional data sets Familiarity with bioinformatic and biostatistical approaches for the analysis of sequencing and proteomic data Desire to conduct team-based science in close
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(Large Language Models, Convolutional Neural Networks, Machine Learning) for analysis and classification of data.