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methods including single-cell genomics and computational tools will be used to address the questions. Who we are looking for A relevant doctoral degree; e.g. bioinformatics, biostatistics, immunology, life
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, bioinformatics, computer science, biostatistics, cancer genomics, or related fields. Candidates who are completing their PhD thesis are welcome to apply and should mention the expected date of their defense and
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. The position is open to applicants with a PhD in computational biology, bioinformatics, biostatistics, cancer genomics, network science, or related fields. The appointment is a fulltime position and is made
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The successful candidate should have: Doctoral degree in a relevant field (e.g. bioinformatics, genetics, computer science or molecular biology) Proven programming skills (preferably Python, other languages also
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significant merit: (mammalian) cell culturing techniques, in vivo models, high throughput screening, molecular biology or bioinformatics excellent written and verbal communication skills (in English) strong
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interest and background in computational biology/bioinformatics are strongly encouraged to consider this opportunity. Our research is funded by the Research Council of Finland, Sigrid Jusélius Foundation
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genetic diversity across space and/or large-scale community-level patterns using sequence data and bioinformatic tools. The postdoctoral researcher will develop pipelines to mine and combine data from
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. Experience in stem cell-derived islet generation, single-cell transcriptomics and bioinformatics is advantageous but not mandatory. The chosen applicant is expected to reside in Finland while employed by
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omics data from human patient samples. Individuals with a strong interest and background in computational biology/bioinformatics are strongly encouraged to consider this opportunity. Our research is
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screening, molecular biology or bioinformatics excellent written and verbal communication skills (in English) strong problem-solving skills and unprejudiced approach ability to work both independently and as