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previous work on the research topics of this call: Caporale, N. et al. Multiplexing cortical brain organoids for the longitudinal dissection of developmental traits at single-cell resolution. Nature Methods
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& Utilization of Resources; (2) Cycling and Extraction of Key Metal Elements; (3) Recycling of Wind, Battery, and Photovoltaic Equipment; (4) Energy Conversion and Storage; (5) Energy-saving Materials and
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elements: * A brief description of the academic ties and collaborations with the applicant (e.g., collaboration on research projects, thesis supervision, teaching, etc.); * A description of the main skills
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requested that, if possible, the recommendation letters include the following elements: * A brief description of the academic ties and collaborations with the applicant (e.g., collaboration on research
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. within 6 months from the closure of this call; A sound understanding of applying relevant statistical methods to highly-dimensional complex data from molecular phenotypes coupled with genotypes
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data science, etc) to be obtained max. within 6 months from the closure of this call; A sound understanding of applying relevant statistical methods to highly-dimensional complex data from molecular
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the research fields as follows: (1) Sustainable Exploitation & Utilization of Resources; (2) Cycling and Extraction of Key Metal Elements; (3) Recycling of Wind, Battery, and Photovoltaic Equipment; (4) Energy
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, Semi-supervised and unsupervised representation learning, machine learning method development and in particular, applicants with experience in digital pathology. Applications from underrepresented
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technologies and analysis pipelines. Experience with 3D culture systems or organoid models to replicate hematopoietic microenvironments. Knowledge of clonal tracking methods to study cell fate and leukemic
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. within 6 months from the closure of this call; A sound understanding of applying relevant statistical methods to highly-dimensional complex data from molecular phenotypes coupled with genotypes