Auf einen Blick
- Aufgaben: Join our team to advance research on microbial life histories and microbiome dynamics.
- Arbeitgeber: Be part of the University of Kiel, a hub for innovative research in computational biology.
- Mitarbeitervorteile: Enjoy flexible working hours, competitive salary, and access to state-of-the-art resources.
- Warum dieser Job: Work on groundbreaking projects with leading experts and opportunities for professional growth.
- GewĂŒnschte Qualifikationen: PhD in Computational Biology or related field; strong data analysis skills in R or Python required.
- Andere Informationen: Encouraging applications from female researchers and those with disabilities for an inclusive environment.
Das voraussichtliche Gehalt liegt zwischen 45000 - 63000 ⏠pro Jahr.
Home Postdoc Abroad Postdoctoral Researcher in Computational Biology, University of Kiel, Germany
Postdoctoral Researcher in Computational Biology: We are seeking an exceptional Postdoctoral Researcher to join our team on two innovative projects aimed at advancing our understanding of microbial life histories and microbiome dynamics. The two-year full-time position (40 hours per week) commences on 1st August 2024 or the earliest possible date thereafter, with the possibility of extension.
Postdoctoral Researcher in Computational Biology and Microbiome Dynamics
Designation: Postdoctoral Researcher
Research Area: Computational Biology and Microbiome Dynamics
Location: University of Kiel, Germany
- PhD in Computational Biology, Bioinformatics, Systems Biology, or a closely related field .
- Experience with ecological and evolutionary theories, particularly related to microbiomes.
- Strong proficiency in data analysis, particularly using R or Python, and experience with statistical modeling.
- Proven track record of peer-reviewed publications in relevant fields.
- Excellent communication skills and the ability to collaborate effectively in a multidisciplinary team.
- Demonstrated experience in metabolic modeling, microbial genomics, or the application of computational tools in biological research.
- Proficiency in time series analysis and experience with differential equation modeling.
- Knowledge of microbial life history traits and community dynamics.
- Familiarity with large-scale computational analyses and the use of computer clusters.
Job Description:
- Framework and Model Development: Lead in the expansion of life history theories and the development of predictive models for microbiome dynamics, focusing on microbial functions and their roles in community assembly.
- Computational Analysis: Utilize metabolic and ecological modeling for trait prediction and perform dynamic simulations of microbial communities.
- Data Analysis and Publication: Analyze diverse datasets to compare theoretical models with empirical data, employing selection techniques to identify the best-fitting models and quantify the contribution of different microbial functions.
We offer:
- An opportunity to work on groundbreaking research projects with significant implications for understanding microbiome functioning and dynamics.
- Access to a dynamic and collaborative research environment, state-of-the-art computational resources, and leading experts in the field.
- Opportunities for professional growth through international conferences, workshops, and high-impact publications.
- A competitive salary and benefits package.
- Flexible working hours (flexitime and, if applicable, teleworking).
- A family-friendly working environment with a variety of offers for families: University Family Office âJUniFamilieâ and flexible childcare (âJUniKinder).
- University health promotion and a wide range of university sports activities.
- Remuneration based on the provisions of the Collective Agreement for the Public Sector of the Federal States (TV-L) up to salary scale E 13 (depending on the candidateâs personal qualifications) including a special annual payment in accordance with the collective agreement.
- 30 days of vacation per calendar year plus two days off on December 24 and 31.
We particularly encourage female researchers to apply, as we are committed to increasing the representation of women in science and providing a supportive and inclusive research environment. Candidates with severe disabilities will be given preference in the case of equal qualifications and suitability.
How to Apply: Candidates should submit a comprehensive CV, a cover letter explaining their motivation and suitability for the position (1-2 pages), a list of publications, and contact information for three references using our online form.
Last Date for Apply: Apply by June 23rd, 2024.
For informal inquiries or questions regarding the position, please contact: Dr. Johannes Zimmermann (newly appointed Junior Group Leader âMechanisms of Microbial Metabolic Interactionsâ at the Cluster of Excellence âBalance of the Microverseâ)
In principle, the job is also suitable for part-time employment. The extent to which a part-time request can be granted, in particular with regard to the location and scope of the part-time work, will be assessed on the basis of the needs of the service.
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Postdoctoral Researcher in Computational Biology, University of Kiel, Germany Arbeitgeber: Zuhause In Duesseldorf
Kontaktperson:
Zuhause In Duesseldorf HR Team
StudySmarter Bewerbungstipps đ€«
So bekommst du den Job: Postdoctoral Researcher in Computational Biology, University of Kiel, Germany
âšTip Number 1
Fokussiere dich auf deine Erfahrungen mit ökologischen und evolutionÀren Theorien, insbesondere in Bezug auf Mikrobiome. Bereite konkrete Beispiele vor, die zeigen, wie du diese Theorien in deinen bisherigen Projekten angewendet hast.
âšTip Number 2
Stelle sicher, dass du deine FÀhigkeiten in der Datenanalyse, insbesondere mit R oder Python, hervorhebst. Zeige, wie du statistische Modelle entwickelt und angewendet hast, um komplexe biologische Fragestellungen zu lösen.
âšTip Number 3
Bereite dich darauf vor, ĂŒber deine Publikationen zu sprechen. Sei bereit, die wichtigsten Ergebnisse und deren Bedeutung fĂŒr das VerstĂ€ndnis von Mikrobiomdynamiken zu erlĂ€utern.
âšTip Number 4
Nutze die Gelegenheit, um Fragen zur Teamarbeit und interdisziplinÀren Zusammenarbeit zu stellen. Zeige dein Interesse an einem dynamischen Forschungsumfeld und wie du zur Teamdynamik beitragen kannst.
Diese FĂ€higkeiten machen dich zur top Bewerber*in fĂŒr die Stelle: Postdoctoral Researcher in Computational Biology, University of Kiel, Germany
Tipps fĂŒr deine Bewerbung đ«Ą
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and qualifications required for the Postdoctoral Researcher position. Tailor your application to highlight how your experience aligns with their needs.
Craft a Compelling Cover Letter: Write a cover letter that clearly explains your motivation for applying and how your background in computational biology and microbiome dynamics makes you a suitable candidate. Be specific about your relevant experiences and skills.
Highlight Your Publications: Include a detailed list of your peer-reviewed publications in your CV. Emphasize any work related to microbial genomics, metabolic modeling, or ecological theories, as these are particularly relevant to the position.
Prepare References: Select three references who can speak to your research capabilities and collaborative skills. Make sure to inform them in advance and provide them with context about the position you are applying for.
Wie du dich auf ein VorstellungsgesprÀch bei Zuhause In Duesseldorf vorbereitest
âšShowcase Your Research Experience
Be prepared to discuss your previous research projects in detail, especially those related to computational biology and microbiome dynamics. Highlight any peer-reviewed publications and how they relate to the position.
âšDemonstrate Technical Proficiency
Make sure to showcase your skills in R or Python during the interview. Be ready to discuss specific data analysis techniques you've used, particularly in ecological modeling and statistical analysis.
âšCommunicate Effectively
Since excellent communication skills are crucial for this role, practice explaining complex concepts in a clear and concise manner. This will demonstrate your ability to collaborate effectively within a multidisciplinary team.
âšPrepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, particularly in metabolic modeling and community dynamics. Think of examples where you successfully tackled challenges in your research and be ready to share your thought process.