瑞典于默奧大學2022年招聘博士后職位（人工智能模型在腫瘤轉(zhuǎn)移和聯(lián)合治療中的應用）

Umeå University (UmU)

Postdoc position (2-years) focused on Cancer Metastasis and Combinational Treatment using Artificial Intelligence Models

The Department of Molecular Biology, Umeå University, seeks a postdoctoral scientist in studies of cancer metastasis and combinational treatment using AI models. The position is full-time for two years with access as soon as possible or by agreement. Deadline for application: 20 April 2022.

Background and description of work tasks

We will assist the computer scientists to develop an artificial intelligence predictive model based on genomic, epigenomic and proteomic data at single cell level to predict disease progression and design tailored treatment strategies.

Work task:

1. To perform multiplex gene expression analysis by using clinical samples and individual cancer cells and immune cells. Investigate and compare large numbers of candidate genes related to KRAS, PI3K/AKT and PIP5K1α pathways in individual cells between the primary tumors and metastatic lesions.

2. Establish cell line-models, organoid and animal models for testing for targeted drug validation and characterization for metastatic cancer under EU-REVERT Consortium.

3. Establish and utilize xenograft mouse models that recapitulate growth of primary tumors and formation of distant metastasis Investigate the prognostic values of tumor-specific signatures in primary tumours and metastatic lesions in predictive of distant metastasis.

4. Apply Artificial Intelligence Predictive models to validate on the large data from clinical databases of various types of metastatic cancer which share similar oncogenic pathways and mutations, in particular, KRAS pathways.

Publications from our group:

1. Larsson PF, Karlsson R, Sarwar M, et al., Persson JL. FcγRIIIa receptor interacts with androgen receptor and PIP5K1α to promote growth and metastasis of prostate cancer. Molecular Oncology 2021 Dec 21. doi: 10.1002/1878-0261.13166. Online ahead of print.

2. Semenas J, Wang TY, Syed Khaja SA, Mahmud AKMF, Simoulis A, Grundström T, Fällman M, Persson Targeted Inhibition of ERα Signaling and PIP5K1α/Akt Pathways in Castration-Resistant Prostate Cancer. Molecular Oncology 2021,15:968-986.

3. Sarwar M, Syed Khaja AS, Aleskandarany M, Karlsson R, Althobiti M, Ødum N, Mongan NP, Deizy N, Johnson H, Green A, Ellis I, Rakha E, Persson JL. Targeted suppression of triple-negative breast cancer using PIP5K1α inhibitor. Oncogene 2019, 38:375-389.

4. Johnson H, Guo J et al., Persson JL and Chen LW. Development and validation of a 25-Gene Panel urine test for prostate cancer diagnosis and potential treatment follow-up. BMC Medicine 2020, 18:376.

5. Miftakhova R, Hedblom A, et al., Persson JL. Cyclin A1 and P450 aromatase promote homing and growth of stem-like prostate cancer cells to bone marrow. Cancer Research 2016,76:2453-2464.

6. Semenas J, Hedblom A, Miftakhova RR, Sarwar M, Larsson R, Shcherbina L, Johansson ME, Härkönen P, Sterner O, Persson JL. The role of PI3K/AKT-related PIP5K1α and the discovery of its selective inhibitor for treatment of advanced prostate cancer. Proc Natl Acad Sci U S A. 2014; 111:E3689-98. IF= 10.4.

Qualifications

Candidates must hold a University degree equivalent to a European University PhD degree in cancer biology, cell biology, or patho-biology (or equivalent fields) and be very skilful in bioinformatics at the time of the recruitment. To be eligible, you should have completed your PhD degree a maximum of four years before the end of the application period, unless special circumstances such as parental leaves exist.

The ideal candidate should have academic ambitions and independent research skills and critical thinking and leadership quality. The candidate should have a strong drive in research and teaching. Candidates must have documented theoretical and practical experience in broad areas including tumor biology, patho-biology, bioinformatics, biochemistry, animal models and fluorescence microscopy.

Candidates must be fluent in spoken and written English. Because the project will be of collaborative nature, candidates need to be able to work productively not only independently, but also in a team. Excellent communication skills are required for interacting effectively with senior colleagues and peers, including colleagues from complementary research fields.

Application

To find details of what your application should include, and apply electronically through the online application system, please go to https://umu.varbi.com/en/?jobtoken=16919620dcb907de2d31dd0e12f6a37d8760385da (or use the button “Apply via Recruiter”). Application deadline: 20 April 2022.

About us

The Jenny Persson lab is specialized in Cancer, Artificial Intelligence in Oncology at the Department of Molecular Biology. Partnerships including EU_GlycoImaging, EU_ REVERT, University of Nottingham, Weill Cornell Medical Center, New York. You can find more information about us at https://www.umu.se/en/staff/jenny-persson/.

The position is employed at The Faculty of Medicine, which consists of 13 departments, is responsible for medicine and clinical and preclinical research and education in more than 80 subjects. The artificial intelligence and digital health have been applied in many areas at the Faculty of Medicine.

The Department of Molecular Biology (https://www.umu.se/en/department-of-molecular-biology/) provides an excellent multidisciplinary research environment and cross-faculty state-of-the-art imaging, metabolomics, genomics and bioinformatics facilities.

At Umeå University, everything is nearby. Our cohesive campus environment makes it easy to meet, collaborate and exchange knowledge, which promotes a dynamic and open culture where we rejoice in each other’s successes. If you are interested in knowing about Umeå University as a workplace, read more at: https://www.umu.se/en/work-with-us/.

Umeå University also offers a strong postdoc community with the Umeå Postdoc Society (UPS) which fosters networking amongst postdocs, organises social and career development events and works towards improving the postdoc experience at Umea campus. Check out their website: https://umeapostdocsociety.se/ and do not hesitate to get in contact with them early on!

We welcome your application!

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