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Clinical research associate Jobs in Langerwehe
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Clinical research associate • langerwehe
Postdoc – Molecular and bioinformatic-based identification of optimized enzymes for biotechnological applications
Forschungszentrum JülichJülichBereit für Veränderung? Werde IT-Berater im Produktmanagement (m / w / d) – Quereinsteiger willkommen
Franklin Institute of Applied SciencesEschweiler, Nordrhein-Westfalen, DE- Gesponsert
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BA.UnternehmensgruppeNordrhein-Westfalen, DeutschlandWerksstudent Digital Marketing Manager
Safran & Family GmbHAlsdorf, North Rhine-Westphalia, GermanyDevelopment Engineer (f / m / d) Fluid Mechanics, Blading, Industrial Steam Turbine
Siemens EnergyGermany, Nordrhein-WestfalenUsability Tester / UX Researcher (m / w / d) bis zu 7.000€ brutto
Tech Staff Solutions Heidelberg GmbHDüren, Nordrhein-Westfalen, DEIT Solution Architect (m / w / d)
INFODASNordrhein-Westfalen, DeutschlandAccount Specialist
Guided SolutionsGermany (NRW)Advisor for Indigenous Rights, Networking and Lobbying (m / f / x)
cinfoNorth Rhine, Germany- Gesponsert
Full Professor in Machine Learning and Artificial Intelligence
InsideHigherEdAll Cities, Nordrhein-Westfalen(Junior) Consultant Global Benefits (m / f / d)
Aon Versicherungsmakler Deutschland GmbHBundesweit, DECloud Engineer (m / w / d)
water IT Security GmbHRemote, Nordrhein-Westfalen, DE(Senior) Manager, Medical Science Liaison, Therapy Development, Transcatheter Mitral and Tricuspid Therapies (Germany)
Edwards LifesciencesGermany, Nordrein Westfalen, RemoteHead of Clinical Advisor Germany & Austria (m / w / x)
Straumann GroupNordrhein-WestfalenLeiter •in Qualitätsmanagement und Abteilungsleiter •in Product Development & Quality Control
saint_gobain_groupAlemanha , North Rhine-WestphaliaConsultant / Associate IT Assurance and Advisory (m / w / d) im Bereich Risk Advisory Services
BRLNordrhein-Westfalen, DEDeutschsprachige Kundenservice in Griechenland (m / w / d) für Microsoft
TeleperformanceDüren, DEPostdoc – Molecular and bioinformatic-based identification of optimized enzymes for biotechnological applications
Forschungszentrum JülichJülichYour Job :
- Analyzing RNAseq data with respect to the identification and functional annotation of genes involved in, for example, cell wall degradation, carbon flux etc.
- Screening metagenomic and genomic data using deep learning methods in order to identify degrading enzymes from different data resources
- Using Hidden Markov Models and similar tools as well as machine learning for the identification of novel and better enzyme variants from a large proteome compendium
- Generating structural models of enzymes and using machine learning methods to predict their enzymatic function and characterize their molecular recognition properties
- Using machine learning methods and simulation techniques to understand environmental effects on the enzymes and improving their stability and activity
- Publishing the scientific results in international journals and traveling to national and international conferences
- Co)-supervising PhD students
Your Profile :
Our Offer :
We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We support you in your work with :
We offer you an exciting and varied role in an international and interdisciplinary working environment. The position is for a fixed term of 2,5 years, with possible long-term prospects. Salary and social benefits will conform to the provisions of the Collective Agreement for the Public Service (TVöD-Bund), pay group EG 13, depending on the applicant’s qualifications and the precise nature of the tasks assigned to them.
In addition to exciting tasks and a collaborative working atmosphere at Jülich, we have a lot more to offer :
We welcome applications from people with diverse backgrounds, in terms of age, gender, disability, sexual orientation / identity, and social, ethnic and religious origin. A diverse and inclusive working environment with equal opportunities in which everyone can realize their potential is important to us.
We look forward to receiving your application by
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