Postdoktor inom AI-modellering för cellbiologi, AlphaCell

## Responsibilities - Develop and train large-scale AI models that represent, predict, and simulate cell behavior from heterogeneous biological datasets. - Work closely with Avlant Nilsson's group at Karolinska Institutet and SciLifeLab, as well as the Human Protein Atlas data team. - Analyze complex biological datasets, including live-cell fluorescence microscopy, electron microscopy, and molecular measurements. - Translate biological questions into modeling choices and ensure models are grounded in biological context. - Collaborate in a multidisciplinary team with both computational and experimental environments. - Maintain modular, well-documented, and reproducible code. - Communicate scientific findings effectively in an international environment. - Engage in pedagogical activities and contribute to a diverse and inclusive research environment. ## Requirements - PhD or equivalent degree in a relevant field, completed by the time of appointment. - Proficiency in English for communication in an international environment. - Strong understanding of biological systems and interest in cell biology and biological modeling. - Experience in interpreting biological data, preferably microscopy and multimodal datasets combining imaging and molecular measurements. - Background in computational biology, bioinformatics, or machine learning for biological problems. - Experience with modern deep learning frameworks (PyTorch, JAX, or equivalent). - Good software engineering practices, including modular, well-documented, and reproducible code. - Ability to work in interdisciplinary teams and communicate effectively between computational and experimental environments. - Scientific curiosity, self-motivation, and a drive to solve biologically meaningful modeling problems. - Strong pedagogical skills. - Awareness of diversity and equality issues, with a focus on gender equality. ## Nice to Have - Up to three years of postdoctoral experience or equivalent. - Demonstrated interest in cell biology and biological modeling. - Experience with multimodal datasets combining imaging and molecular measurements. - Background in computational biology, bioinformatics, or machine learning for biological problems. - Experience with modern deep learning frameworks (PyTorch, JAX, or equivalent). - Good software engineering practices, including modular, well-documented, and reproducible code. - Ability to work in interdisciplinary teams and communicate effectively between computational and experimental environments. - Scientific curiosity, self-motivation, and a drive to solve biologically meaningful modeling problems. - Strong pedagogical skills. - Awareness of diversity and equality issues, with a focus on gender equality. ## Benefits - Opportunity to grow and develop in a creative and dynamic work environment with good working conditions and benefits. - Emphasis on gender equality, diversity, and equal treatment as core values. - Access to KTH's resources and research infrastructure. - Collaborative environment with leading researchers in AI and cell biology. - Potential for long-term career development within a research-oriented institution. ### About KTH KTH Royal Institute of Technology is a leading international technical university driving innovation and sustainability. The position is located at KTH and SciLifeLab, with a focus on data-driven life sciences and AI modeling for cell biology.