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Field
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consists mainly of research within a large collaborative project focusing on biodiversity, interactions and dynamics in coastal ecosystems. The project seeks to investigate drivers of spatial and temporal
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of immunology, cancer, and spatial transcriptomics, with the goal to understand tumor-associated immune responses and harness these for therapy. The successful candidate would be employed by KI and affiliated
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cognitive strategies in visuo-spatial tasks. Key Responsibilities: Collaboration and support of research and administrative tasks in the field of psychology, education and guidance Self-organised and
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climate sensitivity hazards such as power outage due to wildfire. Experiences or publications with methods such as quasi-experimental design, case crossover design and spatial statistics are all positive
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electrophysiology and sleep) and (ii) in spatial transcriptomics and high-resolution imaging. The selected candidate will work at the intersection of molecular biology and systems neuroscience, gaining a unique
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with or managing research activities, and preparing reports. Strong skills in statistical analysis and handling large spatial and temporal datasets. Good communication skills for collaboration within
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, and other spatially explicit environmental data. The postdoctoral associate will also co-lead the documentation of methodology, ecological justifications, large scale statistical data exploration, model
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spatial transcriptomics). Previous experience in both Bioinformatics/Genomics and Cancer Biology is desirable. The position offers an extraordinary team-based science environment with opportunities
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qualitative proteomics Expertise in LC-MS/MS techniques, including eventually post-translational modification (PTM) analysis Proficiency with bioinformatics and statistical analysis tools, especially in R and
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statistical and spatial analysis. Skills in conceptualization, design, and production of complex data visualizations to clearly communicate analytic findings. Strong critical thinking, analytical, problem